A smart orchard precision management method and system based on number-cloud-end cooperation
By constructing an integrated air-space-ground collaborative sensing system and a dynamic monitoring model chain, and combining it with an expert agronomic knowledge base to generate quantitative execution instructions, the problems of perception lag and diagnostic false alarms in orchard management have been solved, achieving efficient and precise control of orchard management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGZHOU JIANKUN NETWORK TECH DEV
- Filing Date
- 2026-04-03
- Publication Date
- 2026-06-05
AI Technical Summary
Existing technologies for orchard sensing rely on a single approach and lack dynamic collaboration of multi-dimensional data from "air, space, and ground," resulting in delays in acquiring key agronomic indicators. Traditional monitoring models are static and fixed, unable to automatically adapt to specific algorithms based on the phenological stages of fruit trees, leading to poor diagnostic targeting, high false alarm rates, and delayed management measures.
Construct an integrated air-space-ground collaborative sensing system, dynamically plan the acquisition strategies of satellite remote sensing, UAVs and ground sensors, utilize the dynamic monitoring model chain of "stage-target-model" to generate a standardized set of growth status indicators, and generate quantitative execution instructions through an embedded expert agronomic knowledge base to form a closed-loop control.
It has achieved highly timely acquisition of multi-source sensing data, significantly improved the accuracy of pest and disease identification and water and fertilizer stress judgment, solved the problems of slow response and extensive execution in traditional management, and improved the automation level and resource utilization efficiency of orchard management.
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