Realistic high-definition photo of the Tamil Nadu Agricultural University Campus introducing weather forecasting based on artificial intelligence for farmers.

Using Artificial Intelligence to Revolutionize Weather Forecasting for Farmers

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Farmers heavily rely on agricultural forecasting data for the success of their crops. In a groundbreaking initiative, the Tamale-Nadu Agricultural University (TNAU) in India is introducing an artificial intelligence (AI) based application that provides weather forecasts for specific crops, reducing the risk of failure for many agricultural operations.

The service, based on a mobile application, simply requires farmers to download the app and register using their identification number and location. After entering information such as the type of crop and the sowing date, AI calculates predictive information based on past and upcoming weeks’ weather and sends it to the farmers.

Previously, farmers received a general weather forecast through SMS. However, the development of new mobile and web-based software now allows forecasting for 54 weather scenarios, 108 crops, and 6 stages of development.

The new AI-based application will benefit hundreds of farmers, providing tailored predictions for heat, plant protection, and extreme weather events. This application will help farmers mitigate the risk of crop failure and fully utilize their potential.

While TNAU is spearheading this innovation, other agricultural research institutions around the world can adopt similar technologies to provide reliable, accurate, and personalized information for farmers. By harnessing AI’s power, farmers can make informed decisions about their crops and pave the way for higher yields and more sustainable agriculture.

Frequently Asked Questions

What are agricultural forecasting data?
Agricultural forecasting data refers to information and predictions about weather and crops. These data play a crucial role in the success of agricultural operations.

What is artificial intelligence (AI)?
Artificial intelligence is the capability of computers to perform tasks that typically require human intelligence, such as complex problem-solving and analysis.

How does the application work?
The application is based on artificial intelligence and provides weather forecasts for specific crops. Farmers enter information about their crops, and the application calculates predictive information based on past and upcoming weeks’ weather.

What are the advantages of the application?
The application offers personalized information that helps farmers reduce the risk of crop failure and fully utilize their potential. Additionally, the application provides forecasts for various weather scenarios, crops, and stages of development.

What is the source of the information?
The information is inputted by the farmers and calculated by artificial intelligence based on past and upcoming weeks’ weather.

What is the purpose of the application?
The purpose of the application is to provide reliable and accurate information about crops to farmers, thereby reducing the risk of failure and improving farm productivity.

Is the application available in other countries?
The application is currently available to hundreds of farmers and developed by the Tamale-Nadu Agricultural University (TNAU) in India. However, similar technologies can be employed in other countries as well.

Where can I find more information?
For more information, you can visit the official website of the Tamale-Nadu Agricultural University (TNAU): TNAU.