Vol. 11, Special Issue 10 (2022)

Author(s):
Kumar Sanjeev and Suneeta Paswan

Abstract:
Plant growth can be hampered by disease, which has negative impacts on crop output. The disease and pests caused a 10–20% annual reduction in crop productivity. Because they are a cheap food, potatoes give the human diet a source of cheap energy. Diseases in the potato crop significantly reduce yield. For image capture, image pre-processing, image segmentation, feature extraction, feature selection, and picture recognition, the image processing technique is utilised. These photos are used to extract the 76 colour, texture, and area attributes. Both prediction and classification are done using the Feed Forward Neural Network (FFNN) Model. For the selection of features, Relieff approaches were employed. Without feature selection, the model's accuracy is 84.76%. By selecting features using the Relieff approach, the model's accuracy is 85.23%. Therefore, improving classifier performance is helpful for disease detection that is accurate.