Paper Title
A Survey on Plant disease detectionusingimageprocessing and deeplearning
Article Identifiers
Authors
chaiali , arti pimpalkar , madhura thorat , ramsha shaikh
Keywords
Image Processing, Machine Learning, Feature Extraction, Image Global Features, Classification.
Abstract
Agriculture is a significant sector in India with over 70% of the population depending onit fortheirlivelihood. Crop diseases can lead to substantial losses for farmers, especially when the cultivatedareaisvast.Monitoring crops regularly becomes a tedious task for cultivators, and timely and accurate detection of plant diseasesis crucial for maintaining crop quality and yield. Early diagnosis and intervention can help reduce the loss of plantdisease and minimize the unnecessary use of drugs. Therefore, plant disease detection plays a crucial roleinagriculture, and developing efficient detection methods is essential for the growth and success of the agriculturalsector.
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How To Cite (APA)
chaiali, arti pimpalkar, madhura thorat, & ramsha shaikh (May-2023). A Survey on Plant disease detectionusingimageprocessing and deeplearning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), a249-a252. https://ijnrd.org/papers/IJNRD2305033.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : a249-a252
Other Publication Details
Paper Reg. ID: IJNRD_191761
Published Paper Id: IJNRD2305033
Downloads: 000121974
Research Area: Engineering
Country: pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305033.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305033
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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