Crop phenotype monitoring device and system

Abstract

The invention relates to the technical field of crop monitoring, and discloses a crop phenotype monitoring device and system. The crop phenotype monitoring device comprises a pedestal which is provided with a power device for power supply and a driving mechanism, a supporting frame which is arranged on the base in a telescopic mode, and a monitoring imaging unit, wherein the driving mechanism is connected with the supporting frame and used for controlling the supporting frame to rotate; and the monitoring imaging unit is used for acquiring crop image information, is arranged at the upper end of the supporting frame, and uploads the crop image information to a far-end server through a communication module. According to the crop phenotype monitoring device, damage to a crop sample during direct measurement is avoided; the limitation that indirect measurement cannot well reflect the phenotypic characters of crops is overcome; the observed crop image information can be uploaded to the server conveniently and accurately in real time; crop information preprocessing, analytical calculation and real-time storage are carried out; and intelligent and accurate measurement of the phenotypic characters of the crops is realized.

Description

technical field [0001] The invention relates to the technical field of crop monitoring, in particular to a crop phenotype monitoring device and system. Background technique [0002] Crop phenotype is the external expression of the interaction between crop genes and the environment, including the physiological and ecological traits and dynamic characteristics of crop growth and development, such as plant height, density, leaf length, leaf width, leaf inclination angle, and leaf area index. During the crop growth period, continuous, timely and accurate monitoring of multiple crop phenotypic traits (ie, high-throughput phenotypes) is an important basis for realizing intelligent diagnosis and management of crops. [0003] The existing crop phenotype monitoring methods can be divided into direct measurement and indirect measurement. The direct measurement method is manual sampling and destructive measurement. Plant height, time-consuming and labor-intensive, is only suitable for...

AI Technical Summary

Problems solved by technology

[0003] The existing crop phenotype monitoring methods can be divided into direct measurement and indirect measurement. The direct measurement method is manual sampling and destructive measurement. Plant height is time-consuming and labor-intensive. It is only suitable for crop sampling in small areas, and cannot obtain crop information in high-throughput and large areas. Indirect measurement methods mainly use drones or field robots equipped with visible light cameras, radars, or multi-spectral cameras. Probes, further relying on model algorithms such as image analysis and light transmission, to realize the estimation of crop structure and functional characteristics

However, the UAV-based monitoring system is easily affected by environmental conditions. At the same time, due to the limitation of the time spent in the air, the accuracy of the image information acquired by the UAV often cannot meet the requirements of accurate crop phenotypic characteristics extraction.

Although the monitoring system based on field robots can overcome the shortcomings of UAV systems, it is expensive and has very strict requirements on field layout, etc., and it is not suitable for most agricultural experiments

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