Extraction of Drought Phenotypes and Evaluation of Drought Resistance of Field Crops Based on Low-Altitude Remote Sensing

Abstract

The invention discloses a method for extracting drought phenotypes and evaluating drought resistance of field crops based on low-altitude remote sensing. Aiming at the physiological response of crops under drought stress, the following specific phenotypes are extracted: (1) using deep convolutional neural network to estimate volume The leaf index LRS is used to indicate the response degree of crop leaves to drought stress; (2) the aboveground volume AGV extracted based on the digital surface model DSM is used to indicate crop biomass, and the fresh weight FW obtained by empirical linear method modeling , dry weight DW, water content PWC; (3) comprehensive drought resistance evaluation index LWI used to indicate the relative water content of crop leaves. Moreover, using high-frequency UAV image data to obtain the temporal changes of the above phenotypic traits, reveal the dynamic response of crops under drought stress, and evaluate their drought resistance. Finally, genetic analysis was carried out in combination with the gene sequencing data of crop germplasm resources, and potential drought-resistant genes were located 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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