With the advancement of agricultural modernization, accurate diagnosis and early warning of pests and diseases have become an important means to ensure food security. This paper designs an intelligent digital early warning platform for crop pests and diseases based on artificial intelligence and Internet of Things technology. Through front-end data collection, back-end intelligent analysis and expert knowledge base support, it realizes real-time monitoring, intelligent diagnosis and scientific early warning of pests and diseases. The system adopts a modular design, including situation visualization data panel, pest and disease detection and early warning management system, expert knowledge base and management platform, and system operation and maintenance management and configuration center. Experimental results show that the system can significantly improve the accuracy of pest and disease diagnosis and the timeliness of early warning, providing strong support for agricultural production.

Zhang Yaheng, Long Yanbin. Design of a Digital Early Warning Platform for Intelligent Crop Pests and Diseases. Academic Journal of Agriculture & Life Sciences (2025), Vol. 6, Issue 1: 71-78. https://doi.org/10.25236/AJALS.2025.060110.

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