Abstract
In India, agriculture is the main driver of economic growth. Farmers choose the best crops for each season based on soil fertility, weather, and crop economics. Agricultural industries strive for better ways to produce food in order to meet the demands of an expanding population. New technologies that would increase yields while lowering investment are being sought after by researchers. A new technology called precision aids in enhancing farming practices. This makes it one of the most significant and vital factors to take into account when looking for plant illnesses. The notable uses of precision agriculture include the identification of plant leaf diseases. The main goal of this project is to distinguish between healthy and unhealthy leaf plants by utilizing the CNN algorithm to extract features from input photos.
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