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November 28, 2025BioData MiningOpen Access

Deep vision in agriculture: assessing the function of YOLO in the classification of plant leaf diseases (PLDs)

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Authors

CGChhaya GuptaNGNasib Singh GillPGPreeti Gulia

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Overview

This review highlights deep learning's role in assessing plant leaf diseases, suggesting YOLO's effectiveness for enhanced sustainable agriculture.

Key Points

  • Automated detection improves accuracy in identifying plant leaf diseases, advancing agricultural outcomes.
  • Deep learning methods, especially YOLO, lead to better detection of plant diseases, enhancing food security.
  • This review synthesizes YOLO-based models and benchmarks them across various performance measures for disease classification.
  • The findings may enable future research on lightweight YOLO models for mobile use in agricultural settings.

Cite This Study

Gupta et al. (2025) studied this question.

synapsesocial.com/papers/6928f0f9a65b730b9ea79883https://doi.org/10.1186/s13040-025-00497-y
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  1. 1Deep vision in agriculture: assessing the function of YOLO in the classification of plant leaf diseases (PLDs)2025 · 13 citations
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