In situ automatic acquisition system for the whole growth cycle of green leafy vegetable phenotypic characteristics

Abstract

An in-situ automatic collection system for the whole growth cycle of green leafy vegetable phenotype characteristics, including: a power module connected to an image collection module, an embedded control module, a relay mechanical interface module and a shooting optimization module through a programmable time control module, wherein : The programmable time control module transmits the control information of the power supply on and off of the power module to each module. The embedded control module is connected with the image acquisition module through the relay mechanical interface module and transmits the shooting, focusing or switch control information to realize automatic image acquisition. Embedded The control module is connected with the shooting optimization module through the relay mechanical interface module, and issues relevant control instructions and outputs relevant control actions. The invention integrates machine vision analysis and processing technology and automatic control technology for ordinary digital cameras, and can realize non-contact non-destructive measurement. Automated collection of plant life cycle phenotypic traits while leafy greens remain in place, without human presence or supervision.

Description

technical field [0001] The invention relates to a technology in the field of agriculture, in particular to an in-situ automatic collection system for the whole growth cycle of the phenotypic characteristics of green leafy vegetables. Background technique [0002] The dynamic change of plant phenotypic characteristics is an important basis for plant water diagnosis, real-time detection of growth and modeling of plant growth. Most of the existing phenotypic information collection is destructive offline collection, that is, it is impossible to realize the continuous collection and extraction of the phenotypic characteristics of the same collection object throughout the growth cycle. When original collection is required, manual timing and fixed-point collection are generally used, and the degree of automation is not high. Contents of the invention [0003] The present invention aims at the above-mentioned deficiencies in the prior art, and proposes an in-situ automatic collec...

AI Technical Summary

Problems solved by technology

Most of the existing phenotypic information collection is destructive offline collection, that is, it is impossible to realize the continuous collection and extraction of the phenotypic characteristics of the same collection object throughout the growth cycle

When original collection is required, manual timing and fixed-point collection are generally used, and the degree of automation is not high

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