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- Vol. 5 Issue 1
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A Deep Learning Framework for Papaya Crop Health Identification
Authors
1 M. Tech, Department of Computer Science Engineering, Krishna’s Vikash Institute of Technology, Raipur, Chhattisgarh, India. 2 Professor, Department of CSE, Krishna’s Vikash Institute of Technology, Raipur, Chhattisgarh, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 5, Issue 1 (2026)
- Published Online
- January-April 2026
- Pages
- 421-425
- Article Type
- Original Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFWorldwide, papaya disease is a serious hazard to farmers and causes large losses every year. Understanding how urgent it is to mitigate these losses, scientists have been concentrating more on creating systems to identify papaya diseases. However, farmers frequently don't know how to spot diseases, so they don't identify them until the papayas are already impacted, which results in lost crops and financial losses. As a result, many farmers are reluctant to carry on growing papaya. We carried a study using deep learning technologies for papaya disease detection and classification in order to address this problem.
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