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Fish feeding method based on deep learning and image recognition

A deep learning and image recognition technology, applied in the field of feeding, can solve the problems of time-consuming and labor-intensive feeding methods, and achieve the effect of reducing the amount of tasks, improving accuracy and intelligence

Pending Publication Date: 2021-12-10
重庆煜鑫渔蔬园农业科技有限公司
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Problems solved by technology

[0003] The purpose of the present invention is to provide a fish feeding method based on deep learning and image recognition to solve the time-consuming and labor-intensive problems of the existing feeding methods

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  • Fish feeding method based on deep learning and image recognition

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Embodiment Construction

[0034]The following is further described in detail through specific implementation methods:

[0035] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0036] The embodiment is basically as attached figure 1 Shown: A fish feeding method based on deep learning and image recognition, including a computer, an intelligent feeding machine connected to the computer, and several camera groups. The camera group includes the first camera and the second camera; the computer can process the photos taken, and control the intell...

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Abstract

The invention belongs to the technical field of feeding methods, and particularly discloses a fish feeding method based on deep learning and image recognition. The method comprises the following steps: S1, building a deep learning network structure model in a computer, and carrying out the training, so as to judge the feeding mode of a fish school and the specification of the fish school, and the specification comprises the size or weight; s2, a camera group photographs the corresponding culture ponds, and a computer judges the specifications of fish schools in the culture ponds; s3, trial feeding is conducted, and the computer analyzes the feeding mode of the fish schools according to the pictures; s4, feeding for the first time according to the first feeding amount; s5, carrying out subsequent feeding according to the addition amount; and S6, the camera group monitors the specification of the fish school, and if the specification of the fish school belongs to the next stage of the feeding guide, the computer issues food of the corresponding specification and the corresponding adding amount to the intelligent feeding machine during next feeding. According to the method, the problem that time and labor are wasted due to an existing feeding mode can be solved.

Description

technical field [0001] The invention belongs to the technical field of feeding methods, in particular to a fish feeding method based on deep learning and image recognition. Background technique [0002] Aquaculture is an important part of my country's fishery industry, and it is also the main growth point of fishery development. The focus of my country's fishery development has shifted from "fishing-based" to "aquaculture-based", which has prompted great changes in the aquaculture industry. In aquaculture, several ponds are usually set up to feed different types of fish separately. Farmers use manual feeding to feed food, which is time-consuming and labor-intensive. Contents of the invention [0003] The purpose of the present invention is to provide a fish feeding method based on deep learning and image recognition to solve the time-consuming and labor-intensive problem of the existing feeding methods. [0004] In order to achieve the above object, the technical solutio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K19/06G06N3/04G06N3/08A01K61/80
CPCG06K19/06037G06N3/04G06N3/08A01K61/80Y02A40/81
Inventor 赖拉汗
Owner 重庆煜鑫渔蔬园农业科技有限公司
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