Enhancing Soybean Disease Diagnosis using CNN-based Feature Extraction and Random Forest Classification

Shiva Mehta; Vinay Kukreja

doi:10.1109/icoct64433.2025.11118652

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JOURNAL ARTICLE

Enhancing Soybean Disease Diagnosis using CNN-based Feature Extraction and Random Forest Classification

Shiva Mehta Vinay Kukreja

Year: 2025 Pages: 1-6

DOI: 10.1109/icoct64433.2025.11118652

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Keywords:

Random forest Feature extraction Computer science Artificial intelligence Pattern recognition (psychology) Extraction (chemistry) Feature (linguistics)

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Topics

Smart Agriculture and AI

Life Sciences → Agricultural and Biological Sciences → Plant Science

Technology and Security Systems

Physical Sciences → Computer Science → Information Systems

Enhancing Soybean Disease Diagnosis using CNN-based Feature Extraction and Random Forest Classification

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