Soil organic matter prediction method, device and equipment and storage medium

Abstract

The invention relates to the field of soil organic matter analysis, in particular to a soil organic matter prediction method which comprises the steps that reflection spectrum data and organic matter content data of soil in a target area are obtained, and the reflection spectrum data comprise reflection spectrum curves of a plurality of wavelength ranges; extracting a reflection spectrum curve of a target wavelength range from the reflection spectrum data, and calculating spectral interval area data of the reflection spectrum curve of the target wavelength range according to the reflection spectrum data and the organic matter content data; according to the organic matter content data of the soil of the target area and the spectral interval area data, constructing a soil organic matter prediction model, and performing precision evaluation on the soil organic matter prediction model; and in response to a prediction instruction, the prediction instruction comprises the reflection spectrum data of the soil of the to-be-predicted region, and according to the reflection spectrum data of the soil of the to-be-predicted region and the soil organic matter prediction model, obtaining organic matter content data of the soil of the to-be-predicted region.

Description

technical field [0001] The invention relates to the field of soil organic matter analysis, in particular to a soil organic matter prediction method, device, equipment and storage medium. Background technique [0002] Soil organic matter generally refers to the carbon-containing organic compounds that exist in various forms in the soil. It refers to the substances in the soil that are derived from life. The foundation is one of the important indicators to measure soil fertility, and the measurement of soil organic matter is of great significance for guiding the planting of crops. [0003] With the rapid development of the research on spectral characteristics, in recent years, a series of indexes for the spectral prediction of soil organic matter have been constructed for the spectral characteristics of soil organic matter in the visible light range or near-infrared range, but this index is mainly for the comparison of soil organic matter content data. High soil, due to and w...

AI Technical Summary

Problems solved by technology

[0003] With the rapid development of the research on spectral characteristics, in recent years, a series of indexes for the spectral prediction of soil organic matter have been constructed for the spectral characteristics of soil organic matter in the visible light range or near-infrared range, but this index is mainly for the comparison of soil organic matter content data. High soil, due to and will be affected by iron oxide absorption, the soil spectrum in the visible range is not conducive to spectral modeling of organic matter content data

Therefore, for soils with low soil organic matter content data and relatively high iron oxide content, the measurement feasibility is poor, and the measurement effect is not accurate enough

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