Crop water-requesting information determination based on computer vision

Abstract

A method based on the computer visualization for detecting the information about the water demand of crops in order to save water in intelligent irrigation system is disclosed. Its system is composed of a black reference with known sizes, image acquisition equipment, image acquisition card and computer. Said method includes such steps as arranging said block reference close to stem or fruit (seed) of crops, taking the image, filtering noise, separating the reference and object to be detected, calculating the numbers of their pixels, and calculating the water demand.

Description

Technical field [0001] The invention relates to the field of water-saving irrigation and sensor measurement and control technology, in particular to a detection method for intelligent water-saving irrigation based on computer vision technology to detect micro-size changes of crop stems and fruits. Background technique [0002] The current irrigation system uses parameters such as soil humidity and environmental temperature as the control parameters of the irrigation system, not direct parameters, so the control accuracy is low, and the problem is that it causes a lot of waste of irrigation water resources. [0003] In view of the above problems, a non-destructive plant water precision detection technology based on physical methods is proposed to realize the closed-loop control irrigation system, which is of great significance to improve the utilization efficiency of water resources in our country. In the early 1990s, researchers in our country used LVDT-5 (differential trans...

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Problems solved by technology

[0007] Scheme 1: It consists of image acquisition equipment, image acquisition card and computer; image acquisition equipment is used to collect images of crop stems. In order to solve the problem of complicated calibration in measurement, we propose the method of using reference objects, which is easy to operate and accurate in measurement High, that is to choose a reference object with an appropriate size and known size, and place the reference object in the same plane with the same distance from the stem of the crop to be measured to the lens, so that the collected image contains both the stem of the crop to be measured and the crop that has been measured. The reference object of known size, through the image processing algorithm, first segment the crop stem and the reference object, and then calculate the number of pixels occupied in the direction of their diameter respectively, the ratio of the two is equal to the size ratio of their real diameter, so that The stalks of crops can be measured, so as to obtain the water demand of crops and achieve the purpose of water-saving irrigation

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