Deep learning in precision phytopathology: a comprehensive survey of CNN architectures for disease detection and severity quantification
Plant disease detection and severity estimation are crucial to sustainable agricultural productivity and global food security, necessitating the need for efficient and accurate diagnostic tools. This paper systematically analyzes 137 studies using the PRISMA 2020 framework, focusing on deep learning methods used in detecting and estimating plant disease severity. The review covers classification, detection, segmentation, and regression approaches to diagnosing plant diseases and quantifying seve
Record details
Published: 8 August 2026
Source: Artificial Intelligence Review
Category: Research
Topics: Jobs & economy · Healthcare
Retrieved: 9 August 2026
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ethics.ai (8 August 2026), “Deep learning in precision phytopathology: a comprehensive survey of CNN architectures for disease detection and severity quantification,” evidence record 17705, https://ethics.ai/record/17705 (originally published by Artificial Intelligence Review).
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