• K Nagi Reddy
• N.Yagnitha
• M. Chandu
• M. Manjula
• P. Muni Rakesh

Abstract—Now a days, Farmers are facing loss in crop production due to many reasons one of the major problem for the above issue is crop diseases. This is due to lack of knowledge about the disease and pesticides or insecticides available in order to control the disease. But finding the current disease and providing best remedies requires expert opinion or prior knowledge in order to control the disease. This is a time consuming and expensive. In order to solve the above issue the Machine Learning model using Convolutional Neural Network (CNN) algorithm is developed to detect the paddy crop disease using the image.

Keywords: Paddy leaf, Deep neural network, Canny based edge detection, Image processing, DNN, convolution neural network

"IDENTIFICATION OF PADDY LEAF DISEASES USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.n62-n69, April-2024, Available :http://www.jetir.org/papers/JETIR2404D09.pdf

"IDENTIFICATION OF PADDY LEAF DISEASES USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppn62-n69, April-2024, Available at : http://www.jetir.org/papers/JETIR2404D09.pdf