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Crop growth trend analysis system

A trend analysis and crop growth technology, applied in image analysis, image data processing, measuring devices, etc., can solve the problems of inaccurate and objective reflection of plant growth, simple logic, and inability to detect and exclude abnormally growing plants, etc., to reduce artificial cost, improved accuracy, and the effect of improved image quality

Active Publication Date: 2019-09-27
DEFOND ELECTECH CO LTD
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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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Embodiment Construction

[0053] In order to make the technical problems solved by the present invention, the technical solutions adopted and the technical effects achieved clearer, the technical solutions of the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only the technical solutions of the present invention. Some, but not all, embodiments.

[0054]The present invention provides a crop growth trend analysis system, including an image acquisition module, an Internet of Things module and an image processing module, after the image acquisition module acquires crop images, the crop images are transmitted to the image processing module through the Internet of Things module, and the image processing module includes The image deduplication module, the image deduplication module performs deduplication processing on multiple crops in the image, and after screening and eliminating abnormally...

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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...

Claims

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Application Information

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IPC IPC(8): G01N21/25G01B11/28G06T7/62
CPCG01N21/25G01B11/28G06T7/62G06T2207/10004G06T2207/10024
Inventor 钟社威刘天梦
Owner DEFOND ELECTECH CO LTD
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