Recent advances in pest and disease recognition: a comprehensive review

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Comprehensive review highlights the application of machine learning and deep learning in pest recognition, suggesting future research directions.

Agricultural pests and diseases significantly threaten global food production, making rapid recognition essential.
The review explores state-of-the-art machine learning and deep learning techniques for pest and disease recognition.
It assesses key evaluation metrics and benchmark datasets to understand the effectiveness of different recognition methods.
The insights and research directions proposed aim to advance the understanding and future developments in agricultural pest management.

Liu et al. (2025) studied this question.

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Comprehensive review highlights the application of machine learning and deep learning in pest recognition, suggesting future research directions.