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Turmeric Tech: How AI is Revolutionizing Crop Yield Prediction
Tamil Nadu, IndiaSunday, April 27, 2025
The results showed that MobileNetV3 (small) was the most accurate. It correctly identified diseases with an accuracy of 97. 99%. It also had a high Intersection over Union (IoU) score of 96. 82% and a Coefficient of 97. 80%. These scores show how well the model can detect and segment diseases in the turmeric crops. The model was tested over 50 epochs, which means it went through the data 50 times to improve its accuracy.
So, how does this help farmers? By predicting crop yields accurately, farmers can make better decisions. They can plan their resources, manage their crops, and even prepare for potential diseases. This is not just about predicting yields; it is about empowering farmers with the knowledge they need to succeed.
The technology used here is complex, but the goal is simple: to help farmers. By using data and advanced models, it is possible to make farming more efficient and sustainable. This is not just about turmeric; it is about the future of agriculture.
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