Segmentation Techniques For Guava Leaf Disease Detection And Classification

Abstract

Today image processing enters into the field of human health care and disease analysis. It also dominates its features in the area of agriculture to prevent and cure various diseases. Agriculture is the technique of preparing the soil for the growth of plants and animals. Productivity in the agricultural sector is crucial for economic development. Since plant diseases are common, disease detection in plant leaves is crucial in the agricultural sector. In that region, plants face severe effects if safety precautions are not taken, which affects the quality, quantity, or productivity of the respective products. A critical element in the disease diagnosis process for plant leaf disease is image segmentation. This paper we, proposed an algorithm for image segmentation, a technique used to detect guava plant leaf diseases automatically. It also gives a general review of the many disease classification techniques that can be used to identify plant leaf diseases.