• Pushkara A
• Dr. Divya TL

Plant disease has been very big problem not only to the farmers, even to the small holders, who gets their daily needs by selling the crops grown by them. It effects not only to the public even to the government. According to the report, government loss crores of rupees in a year because of loss crops. In the proposed work, Convolutional Neural Network (CNN), with different technologies they are Resnet50, Inception V3, Resnet152V2 have been used for the detection of disease in Potato and Corn plant. And OpenCV library has been used to read the real time image and using the model built with CNN algorithm prediction has made. Prediction of plant diseases is conventionally carried out with the help of teeth RGB. Image processing steps are adopted, like Reading Image, Resizing the image to 256X256, and to convert it to the grayscale images. Multiclass Classification technique has been used to predict the disease in the plant. I have taken 2 crops namely Potato and Corn plant. Potato has 3 classes, and Corn plant has 4 classes. For Image classification Convolutional Neural Network Algorithm and Resnet50, Inception V3, Resnet152V2 have been adopted. The manual prediction may be true or not, but manual predicting takes more time compared to prediction done by system or machine, and prediction done by system or machine provides the accurate result to which class does plant disease belongs to. The system which has been built provides an accurate result to which class does plant disease belongs in very little time.

Convolutional neural network, Resnet50, Inception V3, Resnet152V2, Potato, Corn, Plant disease, OpenCV

"A Framework on Potato and Corn Disease Classification Grown in Red soil Using Deep Learning Algorithm.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.c593-c600, June-2021, Available :http://www.jetir.org/papers/JETIR2106351.pdf

"A Framework on Potato and Corn Disease Classification Grown in Red soil Using Deep Learning Algorithm.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppc593-c600, June-2021, Available at : http://www.jetir.org/papers/JETIR2106351.pdf