Targetting wheat scab, stripe rust, corn northern leaf blight, and rice blast, this technology employs spore capture, IoT sensing, and AI to study disease occurrence patterns and monitor dynamics in real-time. By analyzing the quantitative relationship between diseases and key environmental factors, it develops disease prediction models based on big data and machine learning. It builds a multi-terminal intelligent monitoring and early warning system based on IoT and cloud databases, conducting trials and demonstrations in epidemic areas to achieve precise early warning and control of major crop diseases.

Technology provider:Northwest A&F University