A multispectral-based tea garden fertilization decision model and method
The fertilization decision model, which combines multispectral data with tea garden phenology, solves the problems of spatial differences and temporal fluctuations within tea gardens, achieving accuracy and feasibility in tea garden fertilization, reducing environmental risks, and supporting traceable and controllable fertilization decisions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 江西省经济作物研究所
- Filing Date
- 2026-02-27
- Publication Date
- 2026-06-09
AI Technical Summary
Existing tea garden fertilization technologies are ill-suited to the spatial differences and temporal fluctuations within tea gardens, leading to over-fertilization, incorrect formulations, or inappropriate fertilization windows. They also lack verifiable mechanisms, pose environmental risks and implementation uncertainties, and make it difficult to achieve traceable and controllable fertilization decisions.
By combining multispectral data with tea garden phenological stages and agricultural event constraints, and through mechanisms such as stress decoupling and conflict gating, active sampling calibration, digital twin scenario extrapolation, causal attribution and counterfactual assessment, and robust risk budgeting, a diagnostic closed loop, a prescription closed loop, and a governance closed loop are formed, and an executable variable fertilization prescription is output.
Significantly improves the accuracy and feasibility of fertilization decisions, ensures that fertilization strategies are consistent with agricultural rhythms, reduces the risk of misjudgment and misapplication, improves fertilizer utilization efficiency and reduces environmental risks, and achieves traceable and auditable cross-seasonal self-iterative optimization.