Article

Deep Learning for Tomato Disease Detection and Severity Assessment: A Systematic Analytical Review of Methods, Datasets, and Challenges

2026-05-22

Abstract excerpt

<title>Abstract</title> <p>Tomato diseases significantly affect crop productivity and food security, necessitating accurate and timely detection methods. This paper presents a systematic and analytical review of deep learning approaches for tomato disease detection and severity assessment, based on 76 research studies. Existing methods are categorized into classification, detection, segmentation, and emerging mul...

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Literature Corpus work: a1217e0b-65bb-5039-9927-e2006b2d034c
DOI: 10.21203/rs.3.rs-9600064/v1

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