Intelligent fertilization implementation method based on multi-spectral accurate recognition

Abstract

The invention provides an intelligent fertilization implementation method based on multi-spectral accurate recognition, which comprises the following steps: firstly, collecting multi-spectral images of crops and with the wave bands of 450-990 nanometers, and collecting geographical coordinate information of a land parcel so as to generate a geographical information coordinate diagram of the land parcel; then, selecting spectral images with the wave bands of 450-990 nanometers from the collected multi-spectral images as the analysis basis of the nitrogen content, and selecting the spectral images with the wave bands of 620-780 nanometers as the analysis basis of phosphorus content, and selecting the spectral images with the wave bands of 820-930 nanometers as the analysis basis of potassium content; analyzing and processing canopy and lamina information of the crops in the selected images respectively so as to obtain nitrogen, phosphorus and potassium content strength images, and obtaining nitrogen, phosphorus and potassium content distribution diagrams through combining the geographical coordinate information; providing the fertilization scheme of nitrogen, phosphorus and potassium according to the nitrogen, phosphorus and potassium content distribution diagrams combined with the specific geographical coordinate information. The method has the advantages of high efficiency, high accuracy and simple and convenient operation.

Description

technical field [0001] The invention relates to the field of modern agriculture, in particular to an intelligent fertilization implementation method with multi-spectral accurate identification. Background technique [0002] At present, the soil sampling method is widely used in the agricultural field to measure the soil fertilizer content to assist in the formulation of fertilization programs. However, the soil collection method needs to manually arrange collection points, and the sampling points are limited; soil samples need to be collected manually, and the collection speed is slow, which affects the overall measurement efficiency. Moreover, the soil sampling and analysis data are limited, and the indicators obtained are few, which affects the measurement accuracy to a certain extent. Contents of the invention [0003] In view of the defects in the prior art, the purpose of the present invention is to provide an intelligent fertilization implementation method with mult...

AI Technical Summary

Problems solved by technology

However, the soil collection method requires manual arrangement of collection points, and the sampling points are limited; manual collection of soil samples is required, and the collection speed is slow, which affects the overall measurement efficiency

In addition, the soil sampling and analysis data are limited, and the indicators obtained are few, which affects the measurement accuracy to a certain extent

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