Crop growth trend analysis system

Abstract

The invention provides a crop growth trend analysis system comprising an image acquisition module, an internet of things module and an image processing module. The image acquisition module acquires a crop image and then transmits the crop image to the image processing module through the internet of things module. The image processing module performs grayscale processing on the crop image to obtain the pixel amount of each of the three primary colors of R, G and B of the crop image. The pixel amount of each color is compared with the total pixel amount of the image to obtain the duty ratio of each color. The image processing module extracts the crop contour from the crop image, and the image is de-weighted so that that area of the crop is obtained. The area proportion of the crop is obtained by comparing the area of the crop with the total area of the crop image, the monitoring of the growth state of the crop is realized, the growth environment of the crop is timely and automatically adjusted through the terminal equipment and the labor cost is reduced.

Description

technical field [0001] The invention relates to the field of planting, in particular to a crop growth trend analysis system. Background technique [0002] At present, the cultivation of green leafy plants still relies on traditional manual inspection and cultivation experience to check and confirm, which not only consumes manpower and time, but also increases the cost of large-scale planting. Especially in modern agriculture, when labor is becoming more and more scarce, how to reduce labor costs and planting costs will be the most urgent problem to be solved in future agricultural development. [0003] At present, there are systems that reflect the growth of plants by analyzing the proportion of plant cross-sectional area or the change of plant height. However, the logic of these systems is generally relatively simple, and it is impossible to detect and exclude abnormally growing plants. The detected data can reflect the growth of plants. Not precise enough. Contents of t...

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Problems solved by technology

[0003] At present, there are systems that reflect the growth of plants by analyzing the proportion of plant cross-sectional area or the change of plant height. However, the logic of these systems is generally relatively simple, and it is impossible to detect and exclude abnormally growing plants. The detected data can reflect the growth of plants. not precise and objective

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