一种玉米秸秆全量覆盖还田地力与产能协同提升方法
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JILIN ACAD OF AGRI SCI
- Filing Date
- 2026-05-13
- Publication Date
- 2026-07-17
AI Technical Summary
Existing straw decomposition process prediction algorithms cannot accurately characterize the interfacial hydrothermal inversion and internal water-locking inertia between the cover layer and the underlying soil, leading to misalignment of fertilization decision nodes and dosages.
By collecting and preprocessing time-series monitoring data of the full coverage layer of corn straw and the underlying soil in farmland, a synchronous multidimensional time-series data set is obtained. Cross-interface hydrothermal inversion transport resistance analysis is performed to obtain the retardation attenuation coefficient. Combined with the pore evolution discrete phase space curvature analysis of the straw cover layer volume moisture content sequence, the curvature compensation factor is obtained. Finally, the actual decomposition driving dependent variable is obtained through fusion reconstruction to make fertilization decisions.
It improves the accuracy of straw decomposition process assessment, avoids the risks of overestimating decomposition amount and premature or excessive fertilization timing, ensures the matching of available nitrogen release level with the actual nitrogen requirement rhythm of corn seedlings, and enhances soil fertility release effect and production capacity guarantee.
Smart Images
Figure CN122175733B_ABST