case study on weather monitoring system using iot

Weather Reporting System Using IoT: Benefits & Use Cases

Imagine a world where the weather is no longer an unpredictable force that catches us off guard. This reality is already here, owing to IoT based weather monitoring systems . How do they work, which industries do they serve, and what benefits do they offer?

This article has you covered as we dive into these and even more questions. Learn how IoT technology allows businesses to adapt to changing weather conditions and optimize performance with WebbyLab, an experienced IoT development vendor .

We’ll navigate you through the applications of weather monitoring system using IoT and explain the importance of such ventures. Drawing from our weather reporting expertise in projects like 2Smart Standalone , we’re here to elevate your business operations through the Internet of Things .

Weather forecasting scenario in the 2Smart Cloud platform.

The Role of IoT in Weather Reporting Systems

Traditional weather monitoring systems are getting outdated. They’re often prone to errors and inaccurate predictions — and these factors can damage your business. But with IoT in place, these systems transform dramatically. Here’s how.

• Traditional weather reporting methods, while informative, often suffer from delays in data collection and transfer. IoT, in turn, gathers data from sensors in real time.
• IoT takes forecasting to the next level when combined with internet-connected weather stations. It can predict the weather accurately and quickly for different geographic locations.
• IoT-based weather monitoring systems seamlessly integrate data from a multitude of sources. Weather sensors , satellite imagery, weather stations, drones, and even personal devices are just some examples.
• The Internet of Things brings precision to weather insights. Businesses can collect data from specific places, e.g., by improving crop watering based on soil moisture or changing flight paths to avoid turbulence.

Check how we build custom solutions for clients

Benefits of Weather Reporting System Using IoT

With the Internet of Things, weather monitoring systems have stepped up their game, becoming more accurate, consistent, and quicker in operation. Now, that sounds great, but what does this tech actually offer businesses? Here are the main benefits:

• Real-time data collection. Thanks to IoT devices and sensors, businesses get weather updates from all sorts of locations right when they need them.
• Higher accuracy. A weather monitoring system using IoT gathers data from numerous sources, providing a detailed picture of what’s happening with the weather.
• Wider coverage. Traditional weather monitoring systems usually check conditions at just a few weather stations, leaving out other areas. When IoT technology steps in, businesses can cover more places, even the most distant ones.
• Predictive analytics. IoT-powered weather reporting systems use historical data and current trends to tell businesses what’s coming. That’s how companies can adjust their operations before any weather-related challenges appear.
• Reduced response time. Every second counts when the industry is about making fast decisions — aerospace or emergency services. That’s where IoT weather monitoring comes in as a solution , offering real-time insights for rapid response times.
• Cost-effectiveness. A weather reporting system using IoT allows companies to optimize resource usage and reduce waste. For example, agriculture businesses can leverage weather forecasts to adjust their irrigation and crop protection measures.
• Increased safety. Industries prone to weather-related risks, like construction or transportation, enjoy the advantages of IoT-based automatic weather stations . These businesses can plan their activities more safely with a minimum of accidents and disruptions.

Industries That Benefit from Weather Monitoring System Using IoT

Now that you know the main benefits that IoT systems bring to weather monitoring, let’s dive into the industries that reap these advantages. Here are several examples:

Manufacturing

Manufacturing processes are intricately linked to the weather. IoT technology ensures businesses time their production just right, coordinating with the best weather conditions. Whether it’s managing temperature-sensitive materials or adjusting supply chain logistics based on weather forecasts, manufacturing gains efficiency and precision. 

Flying safely and smoothly is the core of aviation, and the weather here is a big player. Thanks to IoT-based weather reporting, airlines and air traffic control get real-time updates on turbulence, lightning, and visibility — all necessary to make flights safer.

Agriculture

Imagine having a trusted partner in farming decisions — that’s what IoT weather insights are all about. When it’s time for planting, watering, or dealing with pests, these become essential. Farmers can get information on rainfall, temperature, and soil moisture with IoT to make smarter choices for their fields.

IoT based weather monitoring systems are handy in the automotive industry. When the weather gets worse and the roads get slippery, the Internet of Things may help. It assists in developing advanced driver assistance systems and fine-tuning cruise control based on visibility, ultimately adapting vehicles for safer driving.

Warehouse Management

Inventory management and logistics greatly depend on the weather. And that’s where IoT weather stations come into play. They help warehouses predict when severe weather might influence their goods and adjust storage conditions accordingly. The same goes for shipping schedules.

The energy sector, whether using renewable or non-renewable sources, is influenced by weather patterns. Using IoT energy management systems, this industry can predict when people will need more or less energy, ultimately optimizing resource allocation and enhancing grid stability.

Weather conditions are crucial for insurance companies. It’s a common instance in the US, where numerous insurance categories exist — from property protection in case of floods and hurricanes to evaluating risks for energy facilities, agriculture, health, and more. With IoT, insurers can assess risks and price their services properly.

Types of Sensors Used for Weather Monitoring

When learning how to develop IoT-based weather reporting system and considering deploying one, the sensors you choose depend on what you’re aiming to explore. There are various gadgets, each with its own particular purpose. Look at how different sensors work for various scenarios:

Boosting Crop Yields

If farmers are diving into smart agriculture, they need information on temperature, humidity, soil moisture, and rainfall. Here are the sensors used in such a case:

• Temperature sensor
• Humidity sensor or hygrometer
• Soil moisture sensor
• Rain sensor

Increasing Flight Safety

Think about pilots preparing for a smooth flight. They need to know all about wind speed, direction, atmospheric pressure, and even visibility. Check out the sensors suitable for this use case:

• Barometric sensor
• Visibility sensor

In a nutshell, the sensors you pick for weather monitoring depend on what you’re diving into.

Reasons to Invest in an IoT-Based Weather Reporting System

Whether in healthcare, agriculture, aviation, transportation, automation , warehouses, or laboratories, the right weather information is your compass. And here are the primary reasons to invest in a weather monitoring system using IoT :

• Continuous climate monitoring. An IoT-based weather reporting system tracks all environmental changes, whether small or big. It means you always know what’s happening and can prepare for unfavorable weather beforehand.
• Preventing losses. The IoT platform for weather monitoring serves as your early warning signal. It allows you to minimize damage and secure your business.
• Avoiding business disruptions. With IoT in place, you don’t have to shut down your business even if the weather gets rough since you’re ready to adapt. You can adjust schedules, reroute logistics, and ensure smooth operations, leveraging predictive analytics and real-time insights.

WebbyLab Experience in Weather Monitoring Using IoT

WebbyLab has a profound background in leveraging the Internet of Things for weather reporting. Here’s our case study on IoT system for weather monitoring :

Leveraging Ready-Made Solutions

We understand that building custom weather stations from scratch might seem the way to go, but we’ve taken a different route. Recognizing the extensive resources and time invested in refining and testing existing solutions, we’ve opted to work with these well-established options. This decision lets us focus on what truly matters — extracting accurate and reliable weather data.

Using Modern Devices

In today’s market, especially in industrial contexts, weather station devices are often designed for large ecosystems. Their software isn’t necessarily tailored to specific clouds or applications. To bridge this gap, we employ separate gateways. These gateways allow us to run our software, connect physically to devices through interfaces like RS-485, RS-232, One Wire, or Ethernet, and process the collected data. Owing to that, we can integrate weather insights into our solutions easily.

Integrating Weather Monitoring into 2Smart Standalone and 2Smart Cloud

Ease of access and usability are critical for us. That’s why integrating weather data into our 2Smart Standalone platform has been a priority. We’ve established integrations with virtual weather platforms like OpenWeather and YahooWeather. With these in place, users can create virtual devices effortlessly and receive real-time weather data for their locations.

The virtual weather stations in the 2Smart Standalone platform.

The same goes for our 2Smart Cloud platform , where anyone can set up a weather station and access weather information via our mobile application.

The weather station in the 2Smart Cloud platform.

Tailoring Weather Insights for Specific Needs

We’ve also tailored weather insights to specific applications. Our smart greenhouse solution, built on the 2Smart Standalone platform , incorporates a unique sensor-based weather forecasting scenario. Users can easily integrate their real-time pressure and wind direction data. Our algorithm then calculates the nearest weather forecast, enhancing precision for greenhouse operations.

Get Weather Insights with WebbyLab

If you’re tired of Mother Nature’s surprises and want to protect your business from weather-related disruptions, consider using an IoT based weather monitoring system . This solution allows for real-time data collection and unparalleled forecasting accuracy, ultimately optimizing your processes.

Ready to feel the difference between traditional weather monitoring and IIoT-based monitoring system ? Contact WebbyLab experts . With our profound experience in IoT projects , we’ll elevate your business with precise weather forecasting solutions.

Learn more about how we engage and what our experts can do for your business

Written by:

Kostiantyn Oliynyk

Head of IoT at Webbylab

With a robust academic background in Telecommunication Systems Engineering, I apply my knowledge to lead innovations in the IoT domain. Starting as the first team member in the newly formed IoT department at WebbyLab, I've spearheaded its growth, fostering the expansion into embedded and hardware development alongside our core software projects. My dedication lies in pushing the boundaries of IoT technology, fostering a culture of innovation and excellence that profoundly impacts our clients' operational success.

It uses sensors and devices that gather weather data, connect through messaging protocols , and transmit the information to a central hub or a cloud platform. The collected data is then analyzed to get up-to-date weather insights.

A weather monitoring system using Arduino can observe various parameters: temperature, humidity, air pressure, wind speed, wind direction, rainfall, soil moisture, UV radiation, and more.

Businesses can implement different security measures to protect their IoT weather monitoring systems. Some examples include encryption, robust communication protocols, authentication mechanisms, and adherence to the latest IoT standards .

Users typically get weather information through mobile apps, web interfaces, and dashboards.

Rate this article !

27  ratings Avg  4.7 / 5

Let's innovate together! Leverage our expertise for your projects

Project description*

Add an attachment Delete

I give consent to the processing of my personal data given in the contact form above as well as receiving commercial and marketing communications under the

terms and conditions of WebbyLab Privacy Policy .

Avg  4.5 / 5

Avg  4.3 / 5

• IoT Development

Avg  4.4 / 5

Avg  4.8 / 5

2024 WEBBYLAB. All rights reserved.

• Privacy Policy
• Terms and conditions
• Web Content Accessibility Policy
• Cookie Policy

Get a consultation with at Webbylab

Download the whitepaper

IoT-Based Weather Monitoring System Using NodeMCU ESP8266

• Conference paper
• First Online: 14 June 2024
• Cite this conference paper

• Maitreyi Phadke 12 &
• Monali Korde 12  

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 945))

Included in the following conference series:

• International Conference on Smart Computing and Communication

39 Accesses

The IoT-based weather monitoring system using NodeMCU ESP8266 represents a pioneering approach to weather data acquisition, analysis, and dissemination. Confronting the limitations of conventional weather monitoring systems such as high costs and restricted real-time data accessibility, this project leverages NodeMCU ESP8266 technology to offer an economical and efficient solution. The system integrates a network of sensors to capture crucial weather parameters like temperature, humidity, and light intensity. Through the NodeMCU ESP8266 microcontroller and Wi-Fi module, the collected data is processed and transmitted to a central server. A user-friendly interface empowers users to access real-time weather conditions, and forecasts, all presented through intuitive graphical representations. This report comprehensively details the system’s architecture, hardware, software components, implementation steps, results, challenges, and future possibilities. By combining IoT and NodeMCU ESP8266, this system unlocks fresh possibilities for data-informed decision-making in various fields.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save.

• Get 10 units per month
• Download Article/Chapter or eBook
• 1 Unit = 1 Article or 1 Chapter
• Cancel anytime
• Available as PDF
• Read on any device
• Instant download
• Own it forever
• Available as EPUB and PDF
• Compact, lightweight edition
• Dispatched in 3 to 5 business days
• Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Nikhilesh KS, Raaghavendra YH, Soothanan PJM, Resmi R (2020) Low-cost IoT based weather monitoring system for smart community. In: Fourth international conference on inventive systems and control (ICISC), pp 482–486

Google Scholar  

Math RKM, Dharwadkar NV (2018) IoT based low-cost weather station and monitoring system for precision agriculture in India. In: Proceedings of the 2018 2nd international conference on I-SMAC (IoT in social, mobile, analytics and cloud) (I-SMAC) I-SMAC (IoT in social, mobile, analytics and cloud) (I-SMAC), pp 81–86

Haq A, Hasan SS, Rahman MZ, Das D, Ullah A (2022) IoT based air quality and weather monitoring system with android application. In: International conference on innovations in science, engineering and technology (ICISET), pp 24–28

Asghar MH, Negi A, Mohammadzadeh N (2015) Principle application and vision in internet of things (Iot). In: International conference on computing, communication automation

Gosavi S, Bhosale D, Bhide S, Sutar AA (2022) IOT based weather monitoring using arduino uno. Int Res J Mod Eng Technol Sci

Uagbae EP, Eshiet EV, Inyang UG (2020) Arduino-based weather monitoring system. In: SMART–SMART-iSTEAMS multidisciplinary conference Ogwuashi-uku, Delta State, Nigeria

https://components101.com/sensors/dht11-temperature-sensor

https://www.elprocus.com/mq135-air-quality-sensor

chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/ https://www.espressif.com/sites/default/files/documentation/0a-esp8266ex_datasheet_en.pdf

https://cloud.arduino.cc/

Download references

Author information

Authors and affiliations.

Department of Artificial Intelligence and Machine Learning, A. P. Shah Institute of Technology, Thane, India

Maitreyi Phadke & Monali Korde

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Maitreyi Phadke .

Editor information

Editors and affiliations.

Faculty of Engineering, University of the Ryukyus, Nishihara, Okinawa, Japan

Tomonobu Senjyu

College of Computing, Khon Kaen University, Khon Kaen, Thailand

Chakchai So–In

Global Knowledge Research Foundation, Ahmedabad, Gujarat, India

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Cite this paper.

Phadke, M., Korde, M. (2024). IoT-Based Weather Monitoring System Using NodeMCU ESP8266. In: Senjyu, T., So–In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. SmartCom 2024 2024. Lecture Notes in Networks and Systems, vol 945. Springer, Singapore. https://doi.org/10.1007/978-981-97-1320-2_18

Download citation

DOI : https://doi.org/10.1007/978-981-97-1320-2_18

Published : 14 June 2024

Publisher Name : Springer, Singapore

Print ISBN : 978-981-97-1319-6

Online ISBN : 978-981-97-1320-2

eBook Packages : Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0)

Share this paper

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

• Publish with us

Policies and ethics

• Find a journal
• Track your research

DIY Electronics Projects

Electronics Project Hub

IoT Based Weather Monitoring System Using Arduino

In this post we are going to construct an IoT based weather monitor system using Arduino which can report us weather status like atmospheric pressure, temperature, humidity, air quality, light intensity etc. of your locality in real time and the data from the sensors are logged to an IoT cloud service called Thingspeak for monitoring and analysis.

We will see:

• What is IoT based weather monitoring system?
• Why we need an IoT based weather monitoring system.
• Types of sensors involved in weather monitoring.
• Block diagram of IoT based weather monitoring system.
• Circuit diagram and description.
• How to setup your Thingspeak account?
• Program code for Arduino and ESP8266.
• How to upload data to generic ESP8266?
• Prototype images.
• How to operate the circuit?

What is an IoT based weather monitoring system?

It is a system that involves in acquiring weather and environment data using advanced electronic sensors and sending them to a web server via internet for real time weather monitoring and storage of data for future analysis and study.  

Why we need an IoT based weather monitoring system?

• Ease of monitoring your local weather conditions in real time from anywhere in the world.
• For storing weather and environment data for short and long term for studying weather pattern changes and to understand how human induced climate change affected your local weather.
• Easy deployment of the setup for monitoring local atmospheric conditions and microclimates for weather forecasting and prediction.

Types of sensors involved in weather monitoring:

We can find wide spectrum of electronic sensors involved in weather monitoring system depending on the kind of application.

For example:

Farmers need to know the temperature, relative humidity, soil moisture, rain fall etc. to enhance their crop production and the following type of sensors are utilized to obtain the data:

• Temperature sensor.
• Humidity / hygrometer sensor.
• Soil moisture sensor.
• Rain sensor etc.

For an airplane pilot he/she needs to know wind speed, wind direction, atmospheric pressure, precipitation, visibility etc. before they takeoff and they use the following sensors:

• Barometric sensor – for measuring atmospheric pressure.
• Anemometer – for measuring wind speed.
• Rain sensor.
• Visibility sensor – for measuring visibility during snow, rain, storm etc.

In conclusion, the sensors used for monitoring weather depends on the type application we going to deploy for.

Block diagram of IoT based weather monitoring system:

We are going to develop the weather monitoring system using the above illustrated blocks. The brain of the project is an Arduino board and the surrounding blocks are digital and analog sensors for acquiring local weather and environment data.

A generic ESP8266 is used for interfacing the circuit setup with internet via 2.4 GHz Wi-Fi band. The ESP8266 sends the sensor data to a cloud server where the data gets updated in real time and also gets stored for future analysis. We are utilizing a 16 x 2 LCD display to showcase the sensor data, so that we can observe real-time data locally.

Full circuit diagram for IoT based weather monitoring system:

The above circuit consists of the following modules:

• 5V / 3.3V Power supply regulator.
• Arduino Uno.
• 16 x 2 display with I2C adapter module.
• DHT11 temperature & humidity sensor.
• MQ-135 sensor air quality sensor.
• BMP180 – Barometric sensor.
• Light depend resistor (LDR).
• Generic ESP8266 Wi-Fi module.

Now, let’s explore what each of the module does and how it is interfaced with other modules.

Power supply 5V and 3.3V:

The above illustrated module takes 9V to 12V DC supply from a wall adapter and converts to 5V and 3.3V for providing power to Arduino board and sensors.

There are multiple 5V and 3.3V supply outputs in this module and you need to connect 5V supply to 5V sensor modules and 3.3V supply to 3.3V sensor modules. Mismatching will lead to malfunction of the respective modules / sensors.   

A button is provided on the module to turn ON/OFF the 5V / 3.3V output. A green LED indicates that the module is powered ON. There is also a USB power output but we won’t be using it for this project.

16 x 2 LCD display:

We are utilizing a 16 x 2 LCD display to showcase sensor data locally and it can display 16 alphanumeric characters in 2 rows.

An I2C display module is used in this project to reduce the number of wires that connect from microcontroller to LCD display to four; otherwise we need to connect 16 wires.

I2C display module operates on I2C bus and has the following four pins:

• SDA – Serial data.
• SCL – Serial clock.
• GND – ground.

The Vcc pin connects to 5V of the power supply module and GND connects to GND of the supply, the SDA connects to A4 of Arduino and SCL connects to A5.

The I2C module has backlight control, by removing the jumper we can turn off the backlight and vice-versa. You can adjust the display contrast by rotating the potentiometer (blue color on the module) using a small screw driver.

DHT11 temperature and humidity module:

DHT11 is a digital sensor responsible for collecting temperature and humidity data from your surroundings. It has three terminals namely:

Vcc connects to 5V supply, GND connects to GND and data pin connects to A0 of Arduino.

Note: The pin diagram for DHT11 module could differ from manufacture to manufacture and it is recommended to take a good look at your module to see which pins are Vcc, GND and Data before you apply power to the circuit.

BMP180 barometric sensor:

The above illustrated module is a barometric sensor which is capable of measuring atmospheric data; it can give out data like, atmospheric pressure at ground level, atmospheric pressure at sea level and altitude.

We will be only extracting atmospheric pressure data at ground and sea level to display it on the LCD, but we will be sending only the atmospheric pressure data at ground level to Thingspeak server, which is the relevant data for your locality.

It has the following pins:

• Vcc – 3.3V.

Care must be taken while connecting the supply to this module as it operates on 3.3V DC and 5V will kill the module. It operates on I2C bus, same as I2C display adapter module.

MQ-135 air quality sensor module:

MQ-135 is an analog air quality sensor which takes air samples from your surroundings and gives out an analog voltage at its output terminal. MQ-135 can detect the following gases:

• Smoke, CO2 etc.

The operating voltage of MQ-135 is 5V and consumes around 160mA, the sensor has built-in heater for heating the sensor for its normal operation and if the sensor is exposed to strong wind we may get incorrect readings. The sensor takes typically around 3 to 5 minutes to reach optimum temperature depending on surrounding air flow.

The sensor has good sensitivity to detect the above mentioned gases, but the disadvantage is it cannot differentiate which gas or gases have been detected.

Generic ESP8266 module:

The above illustrated module is called generic ESP8266 which is responsible for connecting the weather monitoring system to internet. This module is inserted on a breakout board adapter so that ESP8266 can be interfaced on a breadboard.

Pin diagram of ESP8266:

ESP8266 is not a just another ordinary module, it has a full-fledged 32-bit microcontroller which requires a program code to function. We will be using a programmer to upload the code to this ESP8266 module which we will see in the later part of this article. It operates on 3.3V and communicates on serial interface with Arduino.

Light depend resistor – LDR:

LDR is responsible for collecting data about the intensity of light at your surroundings and it is a passive analog sensor.

The LDR is essentially a resistor that is sensitive to the light, when higher intensity light falls on the photosensitive surface its resistance drops and when less light is received its resistance increases.

In other words, the resistance is inversely proportional to the intensity of the light on the photosensitive surface of LDR. 

This concludes all the modules and sensors used in the circuit setup.

Program code for Arduino:              

I2C LCD library : Click here

DHT library : Click here

BMP180 library : Click here

Program code for Generic ESP8266

Download Thingspeak Library : Click here

Insert your Wi-Fi credentials here the code:

Insert your Thingspeak credentials here:

How to upload code to generic ESP8266 module:

• You need to download ESP8266 board package.
• You need an ESP8266 programmer board.

1) How to download ESP8266 board package?

• Copy this link:  http://arduino.esp8266.com/stable/package_esp8266com_index.json
• Now open Arduino IDE and click on  File > Preferences .
• A window will open like this:

• Paste the URL on the box and click “OK”.
• Now go to  Tools > Board > Boards Manager.

 A window will popup:

• Type “ESP8266” on the box as shown and you will get installation option, select the  latest version  and click install.
• Now the IDE will download the necessary packages and this could take more than 5 minute to complete.
• Now go to  Tools > Board > ESP8266 boards > select “Generic ESP8266”.
• Now, copy the given ESP8266 program code and paste it on to Arduino IDE software.
• Now press compile button (Green tick button). The compilation of code may take more than couple of minutes so be patient. If the compilation failed please check whether have you selected the “Generic ESP8266 Module” in the board option or not.
• After successful compilation of code, now it’s time to upload the code to ESP8266.

2) USB ESP8266 Programmer:

The above illustrated USB device is used for programming the generic ESP8266 module.

Please note that two pins on the programmer must be shorted before you upload the code, otherwise you will get errors while uploading.

Now insert the ESP8266 on the programmer and plug it to your PC’s USB port, like this and click upload:

Once you successfully uploaded the code, you will the below info on your IDE:

Now, you may insert the ESP8266 on your main circuit setup.

How to setup your Thingspeak account for receiving data?

• To send sensor data to Thingspeak, you need a Thingspeak account and you can sign-up here .
• Create a new channel and do the following to your Thingspeak channel:

• Scroll down and press save.
• Please take note of your channel ID and you need to copy and insert the ID to the ESP8266 code.
• Now go to API key tab and you will see “write API” and “read API” keys. Write API key is a secret code for writing data to your Thingspeak channel.

• You need copy and paste the write API key to the ESP8266 code.

Prototype images of IoT based weather monitoring system:

How to operate the IoT based weather monitoring system:

• Make sure that you have connected all the wirings properly and all the modules are connected.
• Plug a 9V to 12V DC adapter to the power supply module’s DC socket and press the ON switch.
• You will see sensor data on the LCD cycling between sensors as shown below:

DHT11 temperature and humidity:

BMP180 atmospheric pressure at ground and sea level (unit is Pa):

MQ-135 Air quality sensor:

LDR sensor – intensity of the light:

Lower percentage indicates low light intensity and higher the percentage indicates higher light intensity.

Please note that air quality and light intensity values are between 0 and 100% and no unit. Also please note that MQ-135 sensor needs to heat up for its proper functioning, so initially while the sensor is heating up it will throw incorrect values and incorrect quality status like toxic or poor.

Data on Thingspeak:

• DHT11 sensor:

BMP180 and LDR:

MQ-135 sensor:

Note: Initially zero value will get updated on all the 5 fields on Thingspeak and after that real time data starts updating. 

If you have any questions regarding this project, feel free to ask us in the comment, you will get a guaranteed reply from us.

My nick name is blogthor , I am a professional electronics engineer specialized in Embedded System. I am a experienced programmer and electronics hardware developer. I am the founder of this website , I am also a hobbyist, DIYer and a constant learner. I love to solve your technical queries via comment section.

83 thoughts on “ IoT Based Weather Monitoring System Using Arduino ”

I want the email please sir to communicate with you regarding this project is necessary.

Yes, you can ask you questions here…

Do we need usb cable for data to be transferred to thingspeak , or will it be updated through wifi

Hi, it will be updated through Wi-Fi.

Hlo sir, I am getting error while i try to upload the code.

Hi, Please add all the libraries as mentioned in the post

value_1 = ((value[1] – 0x30) * 10 + (value[2] – 0x30)); value_2 = ((value[3] – 0x30) * 10 + (value[4] – 0x30)); value_3 = ((value[5] – 0x30) * 10000 + (value[6] – 0x30) * 1000 + (value[7] – 0x30) * 100 + (value[8] – 0x30) * 10 + (value[9] – 0x30)); value_4 = ((value[10] – 0x30) * 10 + (value[11] – 0x30)); value_5 = ((value[12] – 0x30) * 10 + (value[13] – 0x30));

Can u please explain the above code?

Hi, The input data from arduino to ESP8266 is received as stream of individual number, here we are grouping the numbers of a sensor using array, so that a sensor data is combined correctly before sending it via internet. For Example, LDR data is sent to ESP8266 as 1 0 0 for 100%. The above block of code combines individual digits to 100 before sending to cloud. The received individual digits by ESP8266 will be their ASCII values, so to convert them to proper integer (before combining) we are subtracting the received individual data with 0x30 hex value. Regards

Thanks a lot:-) Can u please say which value corresponds to which sensor… And how is array length 15?

Hi, Value 1 & 2 are DHT11, Value 3 is BMP180, Value 4 is LDR, Value 5 is MQ-135. Regards

Hello, Could anyone please tell me what is the programming language used for programming here? Thankyou

C language.

Thankyou so much for you’re previous reply. I had another doubt like how the power supply given to the entire circuit?

Hi, The circuit requires 3.3V and 5V, in our circuit setup we used a power supply that accepts 9V in and 3.3V & 5V out. Regards

I am getting DHT 11 SENSOR ERROR others are working what may be the issue. Sometimes it shows the temperature and Humidity but majority of the time it shows as DHT 11 SENSOR ERROR

Hi, There must be loose connections on one or more wires of the sensor.

I am using Nodemcu instead of ESP8266 is there any changes in the code I need to make. Please Share. I am getting output in LCD the problem is I am not getting serial output from Arduino and Node MCU as well as thingspeak. Please help.

Hi, We need to make the project from starch if we want to use NodeMCU.

We got the method and all other things about this project but i have to make it with model so can u suggest some example for what mode can i make for iot based weather monitor ???

Hi, You can use any plastic junk box as enclosure for the project and make some vent hole so that there will be proper air circulation for the sensors. Regards

Please check your VCC and GND connections. Check DHT11 sensor out cable connection.

Can we add gsm module in this project.

Hi, Yes you can, also we need to do some additional programming depending your requirements.

Hi. Thanks for the code and setup. But when uploading my code to esp8266 board, I am recieving following error message: esptool.FatalError: Failed to connect to ESP8266: Timed out waiting for packet header

Can you please tell me its meaning and how to solve it?

Hi, Are you using the illustrated programmer kit? If so you need to short the two terminals as shown in one of the images. Usually, it takes only one attempt to program the ESP8266. Regards

What are the advantages over other projects of the same theme?

Hi, This circuit is well tested one and we have integrated a lot of relevant sensors. Regards

Thingspeak shows only zero values

Initially it will show zeros just for one cycle then, it will update actual values. If you can see values on your LCD check Tx and Rx connections between Arduino and ESP8266 for Tx and Rx. Don’t alter any delay in the code.

If arduino nano is used, does the programming code change?

Yes, you can use arduino nano.

1.Sir, after how much time it will show the data, meaning after how long we can see the weather.

2. Sir how we check the practical data with actual data.

Hi, The data will appear after 1 to 2 mins on Thingspeak, initially it will update zeros and then sensor data starts updating. I did not understand your 2nd question. Regards

Hey buddy it’s showing dht11 sensor error

Hi, Please find its correct Vcc, GND and output Pin. These are differs from manufacture to manufacture.

Sir, can we see the results in mobile?

Hi, Yes, you can by logging into your Thingspeak account on your browser.

Is there any alternate method to upload code for wifi module.

Yes, there is check this article and scroll down to the section where I explained how to upload it.

MQ 135 is showing constant data and it is not varying while connecting to arduino what is the i am not understanding

can you please tell what is the constant value? It is a wiring issue on your setup.

I am able to get the output on the serial monitor in the Arduino IDE but unable to get the output on the things speak app.i have uploaded the code on the esp8266 also but unable to get on the things speak app.please help me

Assuming you have correctly put your SSID, password and write API key on ESP8266 code, then the only thing is to check your wiring and more importantly check Vcc and GND voltage at ESP8266’s terminal, it should be more than 3.0V only then it can upload the data.

It is showing 16 and good throughout the run time

Hi, it is a wiring fault please double check your wiring connection.

I have uploaded the esp8266 code in the esp8266 and it successfully uploaded .I have connected the circuit as mentioned above but unable to get the data on the things speak app.i have uploaded the correct wifi credentials and thingspeak credentials.But unable to get the data on the things speak app.It is also not showing zero also.i am unable to solve the issue .please can you tell me whether I have to do any extra things.please help me

Check the voltage at Vcc and GND terminal of ESP8266 it should be above 3.0V and lower than 3.3V.

sir i need your help with this project my name is kiran and i choose this project as a mini project in my college so disclosing your contact info here is unsafe so iam going to post my mail id here so that you can contact me [PROTECTED]

Hi, You can ask you queries here and I will try to address it here.

Sir, this might be a dumb question but can you use a powerbank to power the board aka the power regulator?

You you can, but still you need to provide 3.3V from a regulator.

I see, can you explain the part of uploading the code to arduino cuz I got confused between uploading the esp8266 code first and arduino code later? Thanks for the reply btw 🙂

Hi, You need to remove the microcontroller from the arduino board so that ESP8266 can be programmed, later you can reinstall the microcontroller to the board and upload the code designated to arduino. You can also upload the code for arduino first, but to make things easy for newbies I mention that.

I see, thanks again for the help 🙂

Can I get the ppt of this project? Because it will use for my study to do my project.kindly send me sir.

Sorry, we did not document a PPT for this project.

I need help, already done uploading the code and everything but the lcd just flashing on and off without displaying anything and in thingspeak nothing showing up 🙁

You wiring to LCD is not proper and also check the voltage that is going to LCD.

Sir, I’m getting dht11 error on lcd and I didn’t get anything in thingspeak. I have checked my wiring and replaced them with new components but the results stays the same

Hi, Your issue with DT11 is pin configuration of the sensor, connect the sensor properly, its +Ve, GND and output. Even if any one of the wire is mismatched you will error. Regards

how data is analysed in thinkspeak ?

Hi, you can download the data from your Thingspeak account in various formats and you may analyze it visually or with a software.

What kind of simulation you using for the circuit?

No simulation was used for this project.

CAN YOU SEND THE CODE FOR STM 32 BECAUSE I’M doing it in STM 32 (BLUE PILL), SO PLEASE CAN YOU SEND IT WILL BE A GREAT HELP

Hi, We will try to publish one in future 🙂

I am using Nodemcu instead of ESP8266 is there any changes in the code I need to make. Please Share I need it

Yes, you need to make a lot of change to the code! You may need to develop from scratch.

How do I add rain sensor to it ?

Hi, you can add a rain sensor on any of the digital pins (if your rain sensor’s output is digital). Configure the pin as digital input, create a new function for the rain sensor, put your values to send_data() function. You need to understand the code before you can start changes in your project. Regards

The ESP8266 is sending all values as 0. I have checked the RX and TX wires. They are connected properly.

Any modification from your side done in the code? only a few time it should update zero at max after that it should update the values.

i got dht 11 sensor error, my all wiring is totally ok, please help about the error

Hi, either you sensor is damaged or still your wiring to DHT11 is incorrect.

I am getting nan at the output terminal:

Hi, The serial terminal was not configured in the first place in this project 🙂

Sir the data is not showing in thingspeak website

Hi, Please give us more info about your circuit setup, is it updating on LCD display etc.

Hi sir I am facing an issue with the uploading of the arduino code it always says “programmer is not responding” what to do now ??

Are you using the programmer module?

Hi sir i am facing error in the program that” A2 not declared in sc0pe

Hi, did you made any changes to the code?

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Projects Based on Category

• 7 segment Display
• Battery Chargers
• Digital Clock
• Digital Electronics
• Electronics Basics
• Internet of Things (IoT)
• Power Supply
• Transistors
• Voltage booster
• Wireless Circuits
• Wireless Power

Recent Comments & Replies

• Blogthor on Arduino 12V Lead-Acid Battery Charger
• Blogthor on Arduino Water Heater Controller Circuit with LCD
• raka on Arduino 12V Lead-Acid Battery Charger
• JJDavid on Arduino Water Heater Controller Circuit with LCD
• Raka Setiawan on Arduino 12V Lead-Acid Battery Charger
• Blogthor on IoT Based Air Pollution Monitoring System – Arduino
• Blogthor on IoT Based Weather Monitoring System Using Arduino
• dilli on IoT Based Weather Monitoring System Using Arduino
• Des tech on IoT Based Air Pollution Monitoring System – Arduino

Search Projects and Tutorials

IEEE Account

• Change Username/Password
• Update Address

Purchase Details

• Payment Options
• Order History
• View Purchased Documents

Profile Information

• Communications Preferences
• Profession and Education
• Technical Interests
• US & Canada: +1 800 678 4333
• Worldwide: +1 732 981 0060
• Contact & Support
• About IEEE Xplore
• Accessibility
• Terms of Use
• Nondiscrimination Policy
• Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

IoT Based Weather Monitoring System Using Arduino

It is a system that involves in acquiring weather and environment data using advanced electronic sensors and sending them to a web server vi

Sep 3, 2022

19926 views

Components and supplies

12c Adapter

Arduino UNO

DHT11 Temperature & Humidity Sensor (4 pins)

ESP8266 ESP-01

Solderless Breadboard Half Size

RGB LCD Shield Kit, 16x2 Character Display

Jumper wires (generic)

Apps and platforms

ThingSpeak API

Project description

Code for Esp 8266

Code for Arduino

Downloadable files

Only logged in users can leave comments

0 Followers

Table of contents

• How It Works

IoT Based Weather Monitoring System For Micro-Climate Forecasting

Jan 1, 2022 | Blog , IoT Based Weather Monitoring System

Forecasting the weather has come a long way from where it once used to be. Not too long ago, the only way to find out about the day’s weather was through local news channels, radio stations or through aviation weather services. Now, it’s just one click away—all you have to do is check your smartphone.

Environmental monitoring has become incredibly important, given people’s need to be aware of the latest weather conditions wherever they go but more importantly, whatever their profession. Technology is evolving at a dynamic rate, and weather stations need to adapt in order to keep pace with consumer and commercial demand for accuracy. And one of the most important factors that must be considered are microclimates.

What are microclimates?

Weather is not always forecast accurately. One of the biggest drawbacks of the current weather forecasting system is that it is done on a grid. To produce day-to-day forecasts, global model grid lengths range between 9 and 13 km in the smallest sections of the grid all the way up to hundreds of kilometers, leading to inaccurate and inconsistent reports.

These grid systems can not consider microclimates , which are much smaller pockets of land with distinct features that affect temperature, precipitation, and wind.

Some common microclimates include:

• High-elevation areas
• Coastal regions
• Large forests
• Urban landscapes

To improve weather forecasts in a very specific location, it becomes important to understand and identify microclimate conditions. Whether it’s the topography or construction elements affecting different weather factors, accurately collecting data is essential for microclimates around the world.

So how does a microclimate form? It depends on different topographical features that would affect normal climate and weather patterns. For example, the contrast in topographies can affect airflow, ambient temperature, and cloud formation. The particular soil composition of land can have an effect on its rate of evaporation. Heavy vegetation on a specific area can affect airflow as well as moisture levels; this can be natural or manmade.

Microclimates aren’t limited to differences in nature; unnatural additions to a particular landscape can also create them. Urban centers generate high amounts of heat and smog, which can affect low- and high-level winds. Several acres of parkland in the middle of a city can cause multiple microclimates to emerge in a very small geographic area as well. The same principles apply to agriculture as well; differences in crops, irrigation practices, etc. can affect the microclimate as well.

Due to the very specific characteristics of locations with microclimates, it becomes difficult for a traditional grid-based monitoring system to consider different environmental factors. For example, certain variances can have a significant impact on predicting the path of a hurricane or a snowstorm. For someone who lives in or near such microclimates, the forecast as seen on TV may not be accurate.

In addition, conventional grid-based weather monitoring systems are bulky, expensive, and require constant surveillance . Data is transferred manually, which increases the margin for error and runs up expenses.

Here’s where an IoT-based weather monitoring system steps in.

What is the Internet of Things (IoT)?

So what exactly is the “Internet of Things” (IoT)? Simply put, it is a technology that looks to connect all kinds of devices and sensors to share the data obtained from various locations. Today, IoT devices are used across all industries, processing and analyzing data to coordinate traffic signaling, ensure industrial safety, monitor medical applications, or even regulate the temperature inside a house.

The Internet of Things offers a wide range of connected devices with different protocols in order to achieve complete machine-to-machine interaction. It is viewed as one of the biggest innovations in the data industry. This system connects everything to the internet, with the aim of exchanging data to trigger corresponding actions when needed.

IoT envisions a near-future where regular day-to-day objects will be fitted with microcontrollers and convention stacks that will make the devices ready to talk to each other. It looks to recognize, find, follow, observe, and oversee data across many different gadgets. The end goal of IoT is to make the internet more immersive and helpful.

The technology is an advanced solution for connecting different devices to the internet (in this case, the factors affecting the micro-climate of a region) and connecting them within a network. With the use of sensors and automotive electronic equipment, an advanced system can be developed to keep track of the many different characteristics of the climate, such as temperature, humidity, wind speed and direction, rainfall, and more. The system can then analyze all collated data and generate accurate microclimate forecasts that can be displayed in real-time on a digital screen ( this is part of what we are doing for agriculture here at Benchmark Labs ).

An IoT-based weather monitoring system connected to data centers could also keep track of past information, either on an hourly or a daily basis. The sensor data can be analyzed and plotted in graphs and statistics to further improve forecasting.

What does an IoT-based weather monitoring system entail?

IoT-based weather monitoring technology has been growing very quickly, and it has already bypassed the features and functionalities of conventional systems in many ways. Having been applied in the field of remote monitoring and advanced analytics, the technology is revolutionizing different ventures while offering a range of benefits.

Innovations in weather monitoring have focused on controlling and monitoring different weather conditions. IoT devices help measure the physical parameters of a certain location and upload them in real-time to cloud storage, where the data can be analyzed immediately.

These systems make climate monitoring in difficult geographical terrains possible. The manpower required for accurate microclimate forecasts is significantly reduced, and there is no longer any need to physically go into inhospitable environments just to get accurate measurements. Sensor devices placed in particular locations can do all the work to detect current climate details, such as rainfall, wind speed, humidity, soil moisture, CO2 levels, and other data needed for forecasting.

Going a step further, when one connects the weather station to the internet, IoT can be used much more extensively in predicting and disseminating accurate weather data in a particular location. This information can then be made available anywhere in the world.

Wireless weather monitoring significantly impacts businesses across different industries. Data received from sensors can be collected by microcontrollers and dispatched where it is needed. When leveraging IoT technology, other systems such as home automation, wireless sensor networks, and control systems can work smarter and more efficiently.

Accurate and timely microclimate forecasting using IoT plays a very important role in the field of agriculture, as it can provide farmers and landowners specific weather information that will dictate their daily operations. This technology can also make it possible to safely monitor extreme weather conditions in inhospitable environments.

Here are some of the advantages of using an IoT-based weather monitoring system when it comes to microclimate forecasting:

• The process is fully automated
• Does not require human attention
• Prior alerts of accurate weather conditions
• Low cost and efforts in the system
• High accuracy
• Self-protection
• A smart way to monitor the environment
• Efficient & time-saving

What’s next?

Understanding the conditions in a microclimate can help meteorologists and locals alike receive an accurate and specific weather forecast. Given the many factors that affect temperature, precipitation, and wind, accurate data collection and real-time analysis are more critical than ever.

IoT combined with the traditional grid forecast provides an efficient and low-cost solution for continuous monitoring of the environment. These sensor devices and robust systems can easily collect data and create a more accurate picture of a microclimate.

If you would like to learn more about Benchmark Labs from our team and sign up for a trial, go to our sign-up page .

Recent Posts

Benchmark Labs Launches In-Situ Evapotranspiration Forecasts

by benchmarklabs | Nov 12, 2022

Benchmark Labs the leading provider of AI & IoT-driven weather forecasting solutions for the agriculture, energy, and insurance sectors is pleased to announce the global launch of their in-situ evapotranspiration forecasting technology. We previously talked about...

Modern Methods of Water Management in Organic Farming for 2022

by benchmarklabs | Jul 6, 2022

[dssb_sharing_button icon_bg="#636979" _builder_version="4.16" _module_preset="default" background_color="#324155"...

How Vineyard Soil Sampling is Key to Wine Production

by benchmarklabs | Jun 22, 2022

Real-Time Weather Reporting System Using IoT: Benefits & Use Cases

The Internet of Things (IoT) has revolutionized how we live and work and has also introduced new possibilities in weather monitoring. 

Traditional weather reporting systems rely on manual data collection methods, which can be time-consuming and prone to errors.

Thank you !

We’ve received your request. We will contact you within 1 business day .

We’re Sorry

There is already an existing Lead with provided details. Please try after 24 hours.

Something went wrong.

Interested?

Fill the form and we will contact you within 1 business day.

With IoT technology , real-time weather data can be collected, analyzed, and transmitted wirelessly, providing accurate and timely information for various use cases. 

Role of an IoT System in Weather Monitoring

Due to unpredictable weather conditions caused by rapidly changing climate, the Weather Reporting System monitors and regulates weather in different areas like homes, industry, and agriculture. A smart environment has sensor devices, microcontrollers, and software applications, enabling autonomous monitoring and protection.

IoT devices , like sensors and weather stations, can be strategically placed in different areas. They collect data on temperature, humidity, wind speed, precipitation, and other weather parameters. These devices wirelessly transfer data to a central location for processing and analysis.

Some of the ways IoT plays a key role in weather monitoring systems are:

• Real-time Data Collection: Traditional data collection methods can be slow and labour-intensive. With IoT, sensors can collect real-time data continuously, providing a more accurate picture of the weather conditions.
• Cost-effective: IoT devices are relatively low-cost compared to traditional weather monitoring equipment. This makes it easier for organizations to deploy multiple sensors in different locations for comprehensive weather monitoring.
• Remote Monitoring: IoT enables remote weather monitoring, eliminating the need for physical visits to collect data. This is especially useful in extreme weather conditions or hard-to-reach areas.
• Data Analytics: With a large amount of real-time data, advanced analytics can be applied to identify patterns and trends in weather data, providing more accurate weather predictions.
• Early Warning Systems: IoT can also set up early warning systems for extreme weather events, such as hurricanes, tornadoes, or floods. This allows authorities and individuals to take necessary precautions and mitigate potential damage.

Weather Monitoring System with IoT Block Diagram

Applications are categorized into two types: Event Detection-based and Spatial Process Estimation. At the heart of the ecosystem lies a microcontroller, such as Arduino UNO or ESP8266, serving as the central hub. It orchestrates the connectivity of various sensors (such as humidity and temperature sensors) and devices, acting as the brain of the entire system.

The collected data is promptly transmitted to the web server after establishing a stable connection between the server and strategically placed sensor devices. Wi-Fi modules like Node-MCU are used to upload and store the processed sensor data on a website, serving as a reliable database.

• The web server page allows us to observe and manage the system.
• It provides data on moisture, temperature, and CO levels in the location of the embedded monitoring device.
• The gathered data is stored in the cloud.
• Cloud data can be used to analyze parameters and maintain continuous monitoring.
• Regular air temperature, humidity, and carbon monoxide levels are recorded.
• All information is stored in the cloud, allowing us to monitor temperature, humidity, and CO levels remotely and at any time.

Areas Benefit from Weather Forecasting System with IoT

Agriculture sector.

Weather forecasts help farmers make well-informed decisions on crop selection, watering schedules, and pest control. Farmers can receive accurate soil moisture levels and plant growth data with real-time monitoring , ensuring optimal crop yield.

Transportation

Real-time weather monitoring is crucial for transportation industries to avoid delays or accidents caused by extreme weather conditions. Using IoT-based sensors on vehicles and roads, transportation companies can track road conditions and plan routes accordingly.

Disaster Management

IoT-based weather monitoring systems can help predict natural disasters like hurricanes, floods, and snowstorms. With accurate data, authorities can issue timely warnings and take necessary precautions to minimize damage.

Urban Planning

City planners can benefit from real-time weather data to better manage resources and infrastructure. For instance, with advanced warnings of heat waves or heavy rainfalls, they can prepare emergency services accordingly and prevent potential disasters.

Weather plays a significant role in tourism, and real-time weather monitoring can greatly enhance the experience for travellers. Accurate weather forecasts allow tourists to plan their activities accordingly, making their trip more enjoyable and hassle-free.

Real-time weather data is crucial for healthcare facilities to prepare for extreme temperatures or natural disasters. With IoT-based sensors, hospitals can monitor indoor and outdoor temperatures, humidity levels, and air quality to maintain a safe patient environment.

Types of Sensors Involved in Weather Monitoring

Weather monitoring systems utilize a diverse range of electronic sensors, which vary depending on the specific application.

For example, farmers require information on various factors such as temperature, relative humidity, soil moisture, and rainfall to improve crop production. They rely on specific types of sensors to collect this data. Some of the such sensors are:

• Temperature sensor: Measures the ambient temperature.
• Humidity/hygrometer sensor: Detects and measures the humidity level in the environment.
• Soil moisture sensor: Monitors the moisture content in the soil.
• Rain sensor: Detects and measures the presence and intensity of rainfall.

Another example can be an airplane pilot who must gather crucial information such as wind speed, wind direction, atmospheric pressure, precipitation, and visibility before taking off. To obtain these vital details, pilots rely on a variety of sensors.

• Barometric sensor: Measures atmospheric pressure.
• Anemometer: Measures wind speed.
• Rain sensor: Detects and measures rainfall.
• Visibility sensor: Measures visibility during adverse weather conditions such as snow, rain, and storms.

Future of IoT-based Weather Monitoring System

With the increasing adoption of IoT in various industries , including weather monitoring, we can expect to see more advanced and innovative solutions. Some possible developments include:

• More accurate forecasting: Technology and data analytics advancements will enable IoT-based weather monitoring systems. These systems will provide even more accurate forecasts.
• Integration with other systems: IoT-based weather monitoring systems can be integrated. These systems include smart homes and smart cities, enhancing their capabilities. For example, a smart home could adjust its temperature settings based on real-time weather data.
• Machine learning: Using machine learning algorithms, IoT-based weather monitoring systems can continuously learn from past data. This enables them to improve their forecasting abilities over time.
• Enhanced disaster management: With the help of IoT-based sensors, disaster management authorities can receive real-time data about weather conditions. This enables them to take necessary precautions to protect the public.
• Personalized alerts: Individuals can receive personalized weather alerts with IoT-based weather monitoring systems. These alerts are based on location and preferences, enabling better planning and ensuring safety.

The utility and potential of IoT technology in weather monitoring are immense and continue to grow with time. We can drastically increase efficiency and productivity by implementing IoT-based weather monitoring systems across various sectors while reducing risks associated with unpredictable weather patterns.

Conclusion!

IoT systems provide farmers with precise soil moisture and climate data, enhancing crop management and mitigating weather-related risks. 

In extreme environments, such as volcanoes or rainforests, IoT weather stations continually monitor and report conditions, supplying vital data for safety and research. The increasing volatility of our global climate highlights the importance of advanced, real-time monitoring systems.

With IoT advancements, organizations now analyze the impact of weather on operations and use advanced analytics to mitigate its effects on business. Explore how Airtel IoT solutions are serving various industries worldwide.

Need more information about Airtel Business solutions?

Similar insights

How IoT Fleet Tracking Better Than Other Technologies In Transportation Industry

IoT (Internet of Things) fleet tracking represents a significant evolut... more

Understanding Communication Models With Airtel IoT

The modern world of technology has come a long way since the initial di... more

All You Need To Know About Internet Of Things (IoT) Monitoring

Internet of Things (IoT) monitoring is the process of conceptualising, ... more

All You Need to Know About Actuators in IoT

The major contributing factor of the latest Data Economy is the Interne... more

Understanding NarrowBand IoT (NB-IoT) and its Use Cases

As the Internet of Things continues to change the way businesses operat... more

Understand The Difference Between IoT (Internet of Things) Vs. WoT (Web of Things)

The technological landscape has been evolving, and one term that has gr... more

We’re here to help you

• Submit Paper
• Check Paper Status
• Download Certificate/Paper

• --> --> --> --> --> E-mail [email protected] --> -->