Field crop drought phenotype extraction and drought resistance evaluation method based on low-altitude remote sensing

Abstract

The invention discloses a field crop drought phenotype extraction and drought resistance evaluation method based on low-altitude remote sensing, which extracts the following specific phenotypes aimingat the physiological response of crops under drought stress: (1) estimating a leaf convolution index LRS by using a deep convolutional neural network to indicate the response degree of crop leaves todrought stress; (2) using an overground part volume AGV extracted based on a digital surface model DSM for indicating crop biomass and fresh weight FW, dry weight DW and water content PWC obtained through modeling by using an empirical linear method; and (3) a comprehensive drought resistance evaluation index LWI for indicating the relative water content of crop leaves. Moreover, the time sequence change of the phenotypic character is obtained by using high-frequency unmanned aerial vehicle image data, the dynamic response of the crops under drought stress is disclosed, and the drought resistance of the crops is evaluated. And finally, genetic analysis is carried out by combining gene sequencing data of crop germplasm resources, and potential drought-resistant genes are positioned for subsequent functional verification and genetic improvement.

Description

technical field [0001] The invention belongs to the field of agricultural automation, and in particular relates to a method for extracting and analyzing rice phenotypes, in particular to a method for extracting drought phenotypes and evaluating drought resistance of field crops based on low-altitude remote sensing. Background technique [0002] Crop breeding research is critical to the growing concerns of climate change and food security. In crop drought-resistant breeding experiments, it is necessary to obtain the phenotypic traits of a large number of candidate varieties for screening out drought-resistant varieties, and combine genomic data for genetic analysis to obtain potential drought-resistant genes for genetic improvement. In the field environment, the traditional method of obtaining drought phenotypes is generally manual measurement. For example, artificial leaf curl rating was used to describe the response of rice to drought stress as early as 1980 (O’Toole and Cr...

AI Technical Summary

Problems solved by technology

[0007] In order to overcome the low efficiency of obtaining the drought phenotype of field crops in the prior art and the difficulty of quantifying the dynamic response of crops to drought stress, the present invention provides a method for extracting drought phenotypes and evaluating drought resistance of field crops based on low-altitude remote sensing. Enables high-throughput, dynamic drought phenotyping data acquisition and analysis for field crops

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