Crop Disease Detection and Recovery of Plants through Leaf Image

The production of crops is an important part of every country’s economy, and agriculture is no exception. An agriculturally advanced nation relies on accurate plant disease identification more than anything else. In order to keep the agricultural sector healthy and productive and to avoid squandering money and other resources, it is vital to diagnose plant diseases quickly and efficiently. Every year, crop farmers lose a significant amount of money due to different plant diseases. In order to help farmers avoid crop loss, deep learning has the potential to detect diseases in plant leaves at an early stage. Consequently, a smart desktop program based on the Res-net model was selected for the purpose of predicting crop diseases in the actual world. By analysing images of plant leaves, the suggested desktop program hopes to aid farmers in spotting plant illnesses. At its core, the suggested app leverages the Res-net transfer learning model to identify the type of disease and differentiate between healthy and diseased leaves. Our aim is to assist farmers in conserving resources and avoiding financial losses through early detection of plant diseases and proper treatment recommendations for common pesticides. We will also provide detailed ideas to the farmer via his WhatsApp.