基于能量余差和无人机热红外的作物水肥胁迫预警方法
By constructing a dual-channel early warning network for water and fertilizer stress residual difference and utilizing energy residual difference and temporal gradient response decoupling modules, the problem of difficulty in early water and nutrient stress identification in UAV thermal infrared diagnostic technology was solved, achieving accuracy and stability in early warning and type identification.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
- Filing Date
- 2026-06-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing UAV thermal infrared diagnostic technology cannot effectively identify early crop water and nutrient stress, and its predictive performance is unstable under different meteorological conditions.
A method based on energy residual difference and UAV thermal infrared is adopted. By constructing a dual-channel early warning network for water and fertilizer stress residual difference, the characteristics of water and nutrient stress are extracted by using a temporal gradient stress response decoupling module and a simplified SEBAL energy balance equation. The temporal evolution pattern is learned by using an LSTM model to achieve early warning and type identification.
Amplifying weak signals in the early stages of stress improves the accuracy and timeliness of identifying water and fertilizer stress types, ensuring stable forecasting performance under different meteorological conditions.
Smart Images
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