An Extensive Study on Disease Prediction in Mango Trees Using Computer Vision

Abstract

Mango belongs to the Family Anacardiaceous, is also known as the king of fruits is Indias most important commercial fruit crop. Due to its wide production, its susceptible to many factors that affect its production. Microbes like fungi, bacteria, parasites, algae cause diseases in Mangoes in all phases of its growth, starting from its initial stage of seedling till the consumption of fruits. The diseases are capable of manifesting themselves as several kinds of rot, dieback, mildew, necrosis, scab, blotch, anthracnose, stem bleeding, wilt, spots, canker, sooty mold, and malformation. Diseases in plants cause major production loss as well as economic loss. Hence, it is most important that the plants are analyzed before taking effective control actions. This survey paper analyses the various computer vision techniques used to identify and predict the diseases that affect the mango trees.