A Crop Growth Trend Analysis System

Abstract

The present invention provides a crop growth trend analysis system, which includes 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. The module performs grayscale processing on the crop image, obtains the pixel amount of each color in the three primary colors R, G, and B of the crop image, and compares the pixel amount of each color with the total pixel amount of the image to obtain the proportion of each color. The image processing module extracts the crop outline from the crop image, deduplicates the image, obtains the area of ​​the crop, compares the area of ​​the crop with the total area of ​​the crop image to obtain the area ratio of the crop, and realizes the monitoring of the growth state of the crop , and timely and automatically adjust the growing environment of crops through terminal equipment to reduce labor costs.

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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