Abstract: Fruit and vegetable diseases are typically brought on by pests, insects, and pathogens, and if they are not promptly handled, they significantly reduce yield. Due to several ailments, farmers are suffering losses. The proposed system provides the solution for these problems faced by farmers. These issues that farmers are facing have a remedy in the suggested system. Pre-processing is utilised in the initial phase. In the second phase, various cutting-edge features are retrieved from the segmented picture in order to remove the noisy and blurry parts, and finally, images are categorised into one of the classes by utilising a multi-class. As a test instance, we looked at fruit and vegetable diseases. According to the findings of our experiments, the suggested method can considerably support the accurate detection and automatic identification of vegetable and fruit diseases.

Keywords: Attributes, Classification, Convolution Neural Network, Prediction.

| DOI: 10.17148/IARJSET.2023.10317