Beet nitrogen nutrition detection method and system based on unmanned aerial vehicle multispectral data

Abstract

The invention belongs to the technical field of nutrition diagnosis, and discloses a beet nitrogen nutrition detection method and system based on unmanned aerial vehicle multispectral data, and the method comprises the steps: carrying out the inversion to obtain ten vegetation indexes and three major classes 19 vegetation indexes; analyzing a nitrogen nutrition change rule of different varieties of beets under different nitrogen application amounts; evaluating correlation and correlation coefficients between the unmanned aerial vehicle multispectral index of the beet test plot and the nitrogen content of the leaf clump, the nitrogen content of the root, the nitrogen content of the whole plant, the nitrogen accumulation amount of the leaf clump, the nitrogen accumulation amount of the root and the nitrogen accumulation amount of the whole plant of the beet; screening the vegetation index with the highest correlation with the beet nitrogen nutrition index in the three types of vegetation indexes for modeling; finding out a beet growth monitoring index with the highest precision; and formulating a beet nitrogen nutrition diagnosis standard based on the optimal spectral vegetation index, and establishing an evaluation system. Experiments show that the unmanned aerial vehicle can diagnose the leaf cluster nitrogen accumulation amount NWL, the root nitrogen accumulation amount NWT and the whole plant nitrogen accumulation amount NWP in unit area, and diagnosis results have statistical significance.

Description

technical field [0001] The invention belongs to the technical field of nutritional diagnosis, and in particular relates to a method and system for detecting beet nitrogen nutrition based on multi-spectral data of an unmanned aerial vehicle. Background technique [0002] At present, beet has a large biomass, which can reach more than 150t / ha, and requires a large amount of nitrogen. The cost of beet fertilizer in Inner Mongolia accounts for more than 20% of the total production cost. Nitrogen nutrition level is one of the important factors affecting sugar beet yield and quality. In order to maintain high yields under intensive farming conditions, large amounts of nitrogen fertilizers are applied to the fields. Excessive application of nitrogen fertilizer reduces sugar beet varieties, increases farmers' planting and management costs, and will lead to a series of environmental problems such as surface water eutrophication and groundwater pollution. The method of rapid diagnos...

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Problems solved by technology

[0007] (1) The traditional nitrogen content determination method (such as the Kjeldahl method) has limited samples, poor representativeness, and takes a long time to measure, and the obtained results cannot guide production in real time

[0008] (2) Traditional remote sensing technology has great limitations in nitrogen nutrition diagnosis

Remote sensing satellite data is limited by its orbital characteristics, and the spatial resolution is low; airborne and hot-air balloons are equipped with multi-spectral sensors, which have higher requirements for flight attitude and higher cost, and are not suitable for large-scale promotion

[0009] (3) Some traditional small-area management measures are not suitable for large-area management

But no researchers have yet investigated drone-based nitrogen nutrition diagnosis in sugar beets

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