High-flux collection system for phenotypic data of field crops

Abstract

The invention discloses a high-flux collection system for phenotypic data of field crops. The system comprises a main structure member, a driving motor, a driving chain, wheels, a control box, a battery, a remote control receiver, a turning motor and a sensor module; the wheels include a width adjusting wheel, a fixed wheel and a directive wheel; the sensor module comprises a 3D laser scanner, a high-spectral camera, a high-resolution CCD camera and a thermal infrared camera; the width adjusting wheel, the fixed wheel and the directive wheel are mounted in the lower ends of three end points of the main structure member respectively; the driving motor is connected with the directive wheel via the driving chain; and the turning motor is mounted in the upper end of the directive wheel. The 3D laser scanner, the high-spectral camera, the high-resolution CCD camera and the thermal infrared camera are integrated, data of multiple sources can be obtained simultaneously, multi-source phenotypic, physiological and biochemical data of the crops can be obtained, the workload of workers is reduced greatly, high-precision high-efficiency phenotypic data collection of the crops is ensured, and the using effect is good.

Description

technical field [0001] The invention relates to a data acquisition system, in particular to a high-throughput acquisition system for field crop phenotype data. Background technique [0002] Plant phenotypes mainly include leaf phenotypes, stem phenotypes, fruit phenotypes, seed phenotypes, and ear phenotypes. The specific phenotypic parameters involved are leaf length, leaf width, leaf area, plant height, stem diameter, fruit handle length, seed germination rate, straight / curved ears, etc. Analysis of plant phenotypic parameters is closely related to breeding. Traditional field crop phenotypic data acquisition is mainly carried out through manual measurement and two-dimensional image acquisition combined with image data processing and analysis. [0003] Manual measurement can obtain plant diameter, leaf length, leaf number and other indicators, and two-dimensional image collection combined with image data processing and analysis can obtain plant leaf length, leaf width, le...

AI Technical Summary

Problems solved by technology

Although the current technical means already have some automated data acquisition equipment, such as leaf area meters, high-resolution cameras, etc., the sampling work still relies on manual operation, which is low in efficiency and heavy in workload, which is a great challenge for people. Inconvenient to use

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