The use of AI in India for predicting monsoon weather has had a significant impact on agriculture. With the help of AI, farmers received earlier forecasting about rain, which allowed them to better time their planting. This model, named NeuralGCM, effectively merges traditional weather prediction methods and modern machine learning.
AI forecasts have been shown to produce a higher return on investment for farmers, providing them with crucial information about upcoming weather events. This technology is planned to expand further, reaching thirty countries in the next few years, making the benefits of accurate forecasting accessible to many more farmers.
While success has been noted, experts emphasize the need for further development to improve the accuracy and relevance of the forecasts. They suggest that weather information should include more detailed data on soil and crop conditions to help farmers make informed decisions.
Difficult words
- predict — to say what will happen in the futurepredicting, prediction
- forecast — a statement about what will happen in the futureforecasting, forecasts
- agriculture — the practice of farming and growing crops
- technology — the use of scientific knowledge for practical purposes
- development — the process of growth or improvement
Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.
Discussion questions
- How do you think AI will change farming in the future?
- What other technologies could help farmers?
- Why is accurate weather information important for agriculture?
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