基于无人机多光谱成像的补充耕地土壤肥力快速评估装置与方法

By using UAV multispectral imaging to analyze soil spectral variations in real time, dynamically generating sampling points and constructing a calibration dataset, the problem of low accuracy in soil fertility assessment models for supplementary cultivated land is solved, and efficient and accurate soil fertility assessment is achieved.

CN122150183BActive Publication Date: 2026-07-17GUANGXI ZHUANG AUTONOMOUS REGION NATURAL RESOURCES ECOLOGICAL RESTORATION CENT

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGXI ZHUANG AUTONOMOUS REGION NATURAL RESOURCES ECOLOGICAL RESTORATION CENT
Filing Date
2026-05-06
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In the replenishment of arable land, due to the complex soil sources and high spatial heterogeneity, traditional soil fertility assessment methods based on fixed sampling points are difficult to effectively capture the spatial variation of soil fertility, resulting in low model calibration accuracy and affecting the inversion accuracy of key indicators such as soil organic matter and available nitrogen.

Method used

By analyzing soil spectral variations in real time using UAV multispectral imaging, additional sampling points are dynamically generated. A calibration dataset is constructed by combining the base sampling points, and a localized calibration model is used for soil inversion, thereby improving the model's adaptability and accuracy.

Benefits of technology

It improves the accuracy of soil fertility parameter inversion and the robustness of the model, enabling rapid and accurate assessment of soil fertility in replenished arable land, and reducing labor and time costs.

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Abstract

本发明涉及一种基于无人机多光谱成像的补充耕地土壤肥力快速评估装置与方法,属于资源环境遥感与精准农业技术领域。该方法旨在解决土壤空间变异大的补充耕地中因预设采样点代表性不足导致的模型校准精度低的问题。其技术方案包括:配置无人机系统,通过地面控制终端控制其采集多光谱影像;实时计算影像近红外波段反射率的空间变异系数,当超过阈值时动态生成附加采样点坐标并引导实地光谱采集;整合基础与附加采样点数据,构建土壤反射率校准数据集;利用该数据集标定本地化土壤反射率模型,反演土壤有机质与碱解氮含量并生成土壤肥力空间分布图。该方法主要用于实现补充耕地土壤肥力的快速准确评估。
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