Solutions and challenges in AI-based pest and disease recognition

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Xinda Liu, Qinyu Zhang, Weiqing Min, Guohua Geng, Shuqiang Jiang

Published: 01 Jan 2025, Last Modified: 07 Nov 2025Comput. Electron. Agric. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•AI in agriculture could alleviate global food crisis and pest issues.•Few-shot learning crucial for accurate pest&disease recognition with limited data.•Innovative network architectures like GANs and Transformers enhance detection.•Lightweight models key for real-time on-site pest and disease identification.•Drones and IoT pivotal for real-time data collection in agriculture.