Plant growth state identification method based on plant illumination image

Abstract

The invention provides a plant growth state identification method based on a plant illumination image. The method comprises the following steps of through extracting the depth information of the collected long-time-period continuous change images of a plant and the illumination information of the plant, combining soil characteristics information, acquiring the plant coordinate of the plant and standardizing the plant coordinate data of the plant, and constructing the conditional random field model based on a plant organ cluster; using a training sample to train and acquiring the identificationmodel of plant organ change state training; and finally, according to the sample characteristic of a target plant to be identified, using the identification model to diagnose and detect a plant growth state change trend. In the invention, the identification degree of the image data and the environmental data of the plant, and environmental parameters of a soil type, a nutrient content and light intensity and chromaticity and the like are increased, and the growth state of each plant organ can be accurately determined.

Description

technical field [0001] The invention relates to the technical field of agricultural production, and more particularly, to a method for recognizing plant growth status based on plant illumination images. Background technique [0002] With the development of science and technology, agricultural production is rapidly changing the traditional farming mode, modern industrial technology has gradually penetrated into agricultural production, and agricultural technology is gradually developing in the direction of knowledge and informationization. Especially with the improvement of the level of industrialization, modern facility agriculture emerged as the times require, rapidly rising in the world, and gradually formed a capital- and technology-intensive high-tech industry, becoming one of the most dynamic industries in the world today. [0003] Modern greenhouses generally refer to greenhouses for factory plant production, and generally have a system for annual continuous plant prod...

AI Technical Summary

Problems solved by technology

[0007] In the prior art, there are already some methods for judging the growth status of crops and other plants based on computer vision technology, but these methods either consider too single factors, only identify certain organs, or ignore external factors such as soil, light, etc. The impact on the growth of crops and other plants lacks the visual monitoring of the real growth environment of plants, which leads to low recognition accuracy of plant status

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