Field-based high-throughput crop phenotype robot and control system thereof

Abstract

The invention discloses a field-based high-throughput crop phenotype robot and a control system thereof. A mobile navigation device comprises a mobile carriage, a power supply, an inertial measurementunit module, a first ultrasonic sensor, a GPS sensor, a network camera and a wireless transmission device. A crop phenotype information acquisition device comprises a plurality of sensors used for obtaining crop phenotype information, a portable high spectrograph; the inertial measurement unit module and the GPS sensor are combined to achieve positioning and navigation functions; the network camera and the first ultrasonic sensor can ensure that the robot moves along a designated path in the field; and the wireless transmission device communicates with a control station of a control system. Asecond ultrasonic sensor, an NDVI sensor, a Kinect sensor and the portable high spectrograph acquire phenotypic characteristic information about the stem height, the leaf area, the disease and the crop density of the crops, and the robot can directly acquire more crop phenotypic characteristic information as the robot directly travels in the field.

Description

technical field [0001] The present application relates to the technical field of crop phenotype analysis, in particular to a field-based high-throughput crop phenotype robot and its control system. Background technique [0002] Phenomics is an emerging scientific discipline defined as the fusion of different sensors, platforms, and technologies to collect deep phenotypic data at multiple temporal and Represent individuals on a spatial scale. Studies in recent years have shown that the application of phenomics-assisted breeding can increase the proportion of genetic gain, and crop breeding makes genetic acquisition or improvement the basis for meeting our growing food needs. Likewise, crop phenomics is critical to accelerating our understanding of crop responses to various biotic and abiotic stimuli and stresses by linking them to their genetic architecture. In particular, crop phenotypes are a prerequisite for robots to perform agricultural tasks, assess crop management st...

AI Technical Summary

Problems solved by technology

Use the spatial location of crops and a large amount of data characterizing crop characteristics to make accurate inferences and predict crop conditions, however, collecting crop data in the field is labor-intensive and very expensive

[0004] While air-based systems have been deployed to improve phenotyping throughput capabilities, these platforms also fail to capture information on the few structural and growth traits of crops that are among the most important in crop growth and management

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