PLANT LEAF DISEASES DETECTION SYSTEM USING CONVOLUTIONAL NEURAL NETWORK

Abstract

The global rise in population has led to a shortage of raw materials and food supplies. The agricultural sector has become the primary and most vital source to overcome this particular constraint. However, the industry itself is facing the challenge of pests and various crop diseases. Battling this has been the significant focus of the sector for decades. due to the technology gap identifying the diseased crops on a massive scale is a big obstacle for the agricultural sector. The proposed system recognizes diseases using CNN, disease detection involves steps such as image acquisition, pre-processing, segmentation, feature extraction and classification, also we are deploying a web app with this trained model which can be used on computers and any android devices thus farmers can easy detect the disease and get the remedy by using the application, we are developing the web app using the python flask. Key Words: CNN,