Crop phenotype field high-flux active measuring apparatus and method

Abstract

The invention provides a crop phenotype field high-flux active measuring apparatus and method. Field crops are planted at fixed points, and plant coordinates are recorded at the seedling period of the crops and are stored in a host computer processing module; in a crop maturation period, a PLC module controls a dark box to move somewhere above each crop through position information stored in the host computer processing module; when the dark box moves somewhere above each crop, the dark box moves downwards to cover the plant; manipulator modules move and respectively separate the crops to the two sides of the dark box, the dark box descends and shoots pictures through an imaging sensor, and the pictures are transmitted back to the host computer processing module after imaging; and the host computer processing module processes and analyzes the transmitted pictures so as to obtain and store field crop phenotype parameters. According to the invention, measurement realized by the apparatus and method belongs to active measurement. The apparatus and method have the advantages of high flux, high precision and high efficiency, thereby having wide application prospect.

Description

technical field [0001] The invention relates to the field of active measurement of agricultural imaging technology, in particular to a field high-throughput active measurement device and method for crop phenotypes with a manipulator. Background technique [0002] With the progress of society and the development of economy, people's demand for high-quality crops is becoming more and more urgent. The continuous growth of population has also brought good requirements for increasing the production of food crops (crops) such as rice and wheat. Therefore, the creation of new breeding technologies and targeted breeding of high-quality, high-yield, and multi-resistant crop varieties are of great theoretical and practical significance for ensuring high and stable grain yields and solving food security in my country and the world. Traditional breeding selection is inefficient, blind, and labor-intensive, mainly relying on manual work and experience, and there are many shortcomings. ...

AI Technical Summary

Problems solved by technology

However, this method lacks the investigation of the actual agronomic environment in the field, and can only be used for the primary selection of large-scale germplasm materials, which is far from the goal of breeding high-yield and high-resistance varieties.

In addition, from the perspective of measurement methods, the above measurement methods are all passive measurements, unable to control the measured object, and have measurement limitations

[0006] At present, there is no description or report of the similar technology of the present invention, and no similar data at home and abroad have been collected yet.

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