A sensor-based non-destructive testing method and system for crop and soil conditions
By using the entropy flow direction modeling method, a state information entropy sequence of the crop-soil system is constructed, which solves the problem of insufficient modeling of uncertain structures in existing technologies and realizes high-sensitivity and stable non-destructive detection of the state of the crop-soil system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- INST OF AGRI ECONOMICS & INFORMATION GUANGDONG ACAD OF AGRI SCI
- Filing Date
- 2026-03-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack systematic modeling of uncertain structures in crop-soil system state detection, fail to effectively identify early latent anomalies or gradual evolutionary deviations, and are susceptible to short-term fluctuations, resulting in insufficient stability and foresight.
An entropy flow direction modeling method is adopted. By constructing a crop-soil joint state feature vector sequence, an entropy flow sensing autoencoder is used to generate a state information entropy sequence, the directional characteristics of information entropy changing over time are calculated, and consistency with the entropy flow direction benchmark is determined to achieve non-destructive testing.
It improves the ability to analyze the coupled changes of multiple factors in complex agricultural environments, enhances the stability and accuracy of detection, effectively distinguishes between gradual stress and early evolutionary anomalies, and reduces the probability of misjudgment.
Smart Images
Figure CN122409992A_ABST