Plants Disease Diagnosis using image processing and machine learning
Channel: ELECTRO Gaming
Date: 2020-05-13

Abstract- The current work propose a approach for detecting plant diseases early and perfectly, using various image processing techniques and artificial neural network (ANN). Farmers experience great difficulty in changing from one disease control plan to a different. Hoping on pure oculus observation to detect and classify diseases is expensive various plant diseases cause an tremendous threat to the agricultural sector by reducing the lifetime of the plants. the current work is aimed to develop an easy disease detection system for plant diseases. The work begins with capturing the pictures. Filtered and segmented using Gabor filter. Then, texture and color features are extract from the results of segmentation and Artificial neural network (ANN ) is then trained by choosing the feature values that might differentiate the healthy and diseased samples appropriately. Experimental results showed that classification performance by ANN taking feature set is greatest with an accuracy of 91%.