Volume 20 No 20 (2022)
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Robust Detection and Classification of Apple Leaf Diseases at Early Stage by utilizing Reconnaissance Cognitive SDS Method with Enhanced IWO Algorithm
Donu V Jose , Dr. K.Shanti
DOI: 544
Abstract
Apples are grown all over the world, and they are one of the most widely consumed fruits everywhere. A variety of diseases affect the apple leaf, caused by bacteria, viruses, fungi, etc. Identification and diagnosis of apple leaf diseases is one of the foremost ways to increase productivity and quality. More accurate early detection of leaf diseases is required to minimize plant degradation.
Keywords
Apple Leaf Disease Detection, Invasive Weed Optimization, Stochastic Diffusion Search, Image Processing, Machine Learning
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