Machine learning algorithm for soybean leaf disease detection
Machine learning algorithm for soybean leaf disease detection
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Authors
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PREETI JHA
Indian Institute of Technology Indore-453 552, India
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ARUNA TIWARI
Indian Institute of Technology Indore-453 552, India
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NEHA BHARILL
Indian Institute of Technology Indore-453 552, India
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MILIND RATNAPARKHE
Indian Institute of Technology Indore-453 552, India
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OM PRAKASH PATEL
Indian Institute of Technology Indore-453 552, India
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UDAY KUMAR REDDY
Indian Institute of Technology Indore-453 552, India
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SHRAVYA RAMASAHAYAM
Indian Institute of Technology Indore-453 552, India
Keywords:
Machine learning, Leaf disease detection, SoybeanAbstract
Agriculture is now the primary source of income for nearly 45% of India's population. This makes it important to aid farmers with crop cultivation, protection, and harvesting. Soybean is one of the most widely grown plants in India, especially in the states of Madhya Pradesh and Maharashtra. But soybean crops are prone to diseases like yellow mosaicand anthracnose, amongst others. We propose hybrid deep learning algorithm to detect diseases in soybean plant leavesusing computer vision techniques. In the experimentation, various classification algorithms were compared using accuracy.
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References
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