Intelligent greenhouse fry feeding device based on machine vision technology and method

A machine vision and greenhouse technology, applied in the parts of color TV, fish farming, color TV, etc., can solve the problem of not considering the actual demand of fish fry and water body biological carrying capacity, inhibiting the natural growth of fish, affecting the quality of fish meat, etc. question

CN112400773AActive Publication Date: 2021-02-26NANJING AGRICULTURAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2021-02-26

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Abstract

The invention provides an intelligent greenhouse fry feeding device based on a machine vision technology and a method, and belongs to the technical field of greenhouse fry breeding and feeding. According to the intelligent greenhouse fry feeding device and the method, cameras are arranged on the inner wall of a culture pond and right above a feeding area to collect fish school video information, the fish school video information is transmitted to a digital signal processor to be preprocessed so as to acquire clear fish school images, the clear fish school images are sent to a server to be processed so as to acquire fish school optical flow motion trails, the fish school optical flow motion trails are input into a judgment model, then the current feeding state of the fish school is judged,accordingly, an instruction is issued to a PLC, the working states of a stock bin packing auger, a conveying packing auger and a draught fan are controlled, and accurate variable feeding is realized;the whole feeding process is more intelligent, manual participation is not needed, manpower and material resources are saved, and good economic benefits are achieved; and the scientific and reasonablefeed feeding amount and feeding time can be determined, the feed cost is saved, intelligent and accurate variable feeding of fry breeding production is realized, and the process of efficient breeding, economic breeding and ecological breeding of fishery production is promoted.
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Description

technical field

[0001] The invention belongs to the technical field of greenhouse fish fry breeding and feeding, and in particular relates to a greenhouse fish fry intelligent feeding device and method based on machine vision technology. Background technique

[0002] Greenhouse fry ecological breeding is an important basis for ensuring the healthy and stable development of the fishery industry. Among them, reasonable feeding of feed is the key link for efficient, economical and ecological breeding of fish fry. In the traditional breeding method, the bait is thrown and released mainly by manual experience, without considering the actual demand of the fry for feed and the biological carrying capacity of the water body. Blind-feed feed feeding is time-consuming and labor-intensive, and it is prone to overfeeding, which reduces the utilization rate of fertilizers, causes waste of resources, and increases economic costs; it can also cause some fish to crave food, Inhibit the nat...

Examples

Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the protection scope of the present invention is not limited thereto.

[0039] In the actual feeding operation, according to the capacity of the greenhouse, such as figure 1 As shown, a slice of greenhouse breeding pond 1 can be equipped with a plurality of greenhouse fish fry intelligent feeding devices based on machine vision technology according to the present invention, so as to realize feeding to a plurality of feeding areas 2; multiple feeding devices are connected in parallel, Share a set of server 6 to process the collected fish image data.

[0040] The specific structure of the feeding device is as follows: figure 2 As shown, the feeding device includes a pool wall camera 3, a top camera 4, a digital signal processor 5, a server 6, a programmable logic controller (PLC7), a feed bin 8, a feed bin auger 9, a feeding pipeline 10, Tra...