An Approach for Detection and Classification of Fruit Disease: A Survey

Zalak R. Barot, Narendrasinh Limbad

Abstract: Agriculture is the mother of all cultures. It has played an important role in the development of human civilization. Using image Processing can detect degradation in plant/fruit. Plant fruit disease and leaf disease are crucial causes that which reduce quantity and can degrade the quality of the agricultural products. Currently chemicals are applied to the plants periodically without knowing the requirement of plants. There are some common symptoms of plant like color distortion, abnormal leaf growth, shriveled and damaged pods, stunted growth. Although diseases and insect pests can cause considerable yield losses or bring death to plants and its also directly affect to human health. These require careful diagnosis and timely handling to protect the crops from heavy losses. In plant, diseases can be found in various parts such as fruit, stem and leaves. This paper represents the survey of various approaches for segmentation method along with feature extraction and classifiers for detection of diseases in fruit and leaf.

Keywords: Image Processing, Pre-Processing, Segmentation, Feature Extraction, Classification