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ISSN 2063-5346
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DETECTION OF FRUIT DISEASES WITH HYBRID DWT-GLCM APPROACH

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Manju Mathur , Rahul Jain
» doi: 10.48047/ecb/2023.12.si7.042

Abstract

Fruit diseases are a serious issue that is having a big global impact on yield quality and quantity. One of the reasons for financial shortfalls in the global agriculture sector is plant diseases. It is the most crucial element since it lowers the growing crops' potential and quality. Although fruits are one of the most significant sources of nutrients in plants, a wide variety of illnesses can impair the quality and growth of fruits. Brown spot, black dot, greasy spots, canker, dry rot, black spot, greening, bacterial blight, pests, peach & nectarine, etc. are only a few of the illnesses that can affect fruits. For the prediction and categorization of citrus infections, many algorithms have been looked at and put forward by analysts in the fields of artificial intelligence, machine learning, digital image processing, and deep learning

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