Investigations on the deep learning approaches for leaf disease diagnosis in cucurbita gourd family

Abstract

India has advanced to greater heights in technological innovation, and newlineagriculture is definitely the backbone of its economy. India is one of the greatest newlineinternational Cucurbita producers. Over the years, right from the beginning to newlinenow, it has been observed that Cucurbita pepo is harvested for food consumption, newlineand it remains an essential harvest crop. As a result of its wholesome requirements, newlineit is widely produced and accessible for indoor and commercial purposes. Leaf newlineimaging has become the most commonly used technique to investigate plant newlinepathology. The techniques help farmers come up with new methods for leaf newlinedisease diagnosis. The advancements in image processing techniques directed the newlineresearchers to innovate new techniques to monitor and diagnose the disease in the newlineCucurbita family. newlineIn India, agricultural engineering has opened opportunities to solve the newlineproblems faced due to inefficient personnel for disease detection. Signal and newlineimage processing play an increasingly important role in agricultural applications newlinefor the extraction of diseased leaves, stems, and fruit to quantify the affected area newlineby disease. Due to large variations in environmental conditions, disease diagnosis newlineand classification become challenging tasks. In leaf diagnosis, digital image newlineprocessing does the computer-based automatic processing of information. The newlinecharacteristics of the leaf are analyzed, and decisions are made based on visual newlineinformation. The downy mildew, powdery mildew, and gummy stem blight newlinediseases occur in Cucurbita and destroy the leading fiscal progress in the newlineagricultural sector. newlineAutonomous detection techniques are advantageous for the early newlinediagnosis of plant disease. The pre-processing, extraction, and classification of newlineleaf diseases using the procedures that were previously accessible have all been newlinethoroughly investigated in this study. newline