A method for continuous acquisition of crop phenotypes in a controlled environment

Abstract

The invention provides a continuous acquisition system of crop phenotypes in a controllable environment and a method. The system comprises a crop cultivation box, a sliding guide rail, a phenotype sensor box, an environment sensor box, a light complementing lamp, an environment control box, a root system box and a root system nutrition circulation box, wherein the sliding guide rail, the phenotype sensor box, the environment sensor box and the light complementing lamp are arranged in the crop cultivation box; and the environment control box, the root system box and the root system nutrition circulation box are arranged outside the crop cultivation box. A hyperspectral imaging sensor, a thermal infrared imaging sensor, a three-dimensional structure sensor and a visible light imaging sensor are arranged in the phenotype sensor box. The phenotype sensor box acquires growth continuous phenotype data of crops in the crop cultivation box at fixed time and fixed place driven by the sliding guide rail. According to the invention, acquisition and analysis of crop phenotype indexes can be carried out in a controllable environment; rules about effects on phenotype parameter change imposed by environment conditions can be explicated; and knowledge about the phenotype parameters is allowed to be in line with actual conditions.

Description

technical field [0001] The invention relates to the field of agricultural technology, in particular to a system and method for continuously acquiring crop phenotypes in a controlled environment. Background technique [0002] Crop phenotypes are all or part of the identifiable characteristics and traits resulting from the interaction of genotype and environment. All levels from functional genomics to crop cultivation physiology involve the identification and analysis of various characteristics and traits, that is, phenotypes, as well as the monitoring and control of complex plant growth environments. So far, most phenotypic identifications are done manually, which is inefficient and uncontrollable. [0003] The prior art discloses a high-throughput collection system for crop phenotype data in the field. This technology has the following two main defects: (1) Environmental information such as illumination, temperature, air humidity, and CO2 concentration of crops cannot be ob...

AI Technical Summary

Problems solved by technology

So far, most of the phenotypic identification is done manually, which is inefficient and uncontrollable

[0003] The prior art discloses a high-throughput acquisition system for crop phenotype data in the field. This technology has the following two main defects: (1) Environmental information such as light, temperature, air humidity, and CO2 concentration of crops cannot be obtained

(2) It is impossible to control the environmental conditions of crops, and it is impossible to measure changes in phenotypic indicators of crops under stress (such as high temperature, low temperature, drought, etc.)

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