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Machine learning algorithm for soybean leaf disease detection: Machine learning algorithm for soybean leaf disease detection

Indian Agricultural Research Journals

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Title Machine learning algorithm for soybean leaf disease detection: Machine learning algorithm for soybean leaf disease detection
 
Creator PREETI JHA
ARUNA TIWARI
NEHA BHARILL
MILIND RATNAPARKHE
OM PRAKASH PATEL
UDAY KUMAR REDDY
SHRAVYA RAMASAHAYAM
 
Subject Machine learning, Leaf disease detection, Soybean
 
Description 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.
 
Publisher Indian Society of Oilseeds Research
 
Date 2023-12-14
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://epubs.icar.org.in/index.php/JOR/article/view/145378
10.56739/jor.v40iSpecialissue.145378
 
Source Journal of Oilseeds Research; Vol. 40 No. Specialissue (2023): Journal of Oilseeds Research
0970-2776
 
Language eng
 
Relation https://epubs.icar.org.in/index.php/JOR/article/view/145378/53056
 
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