Aquatic fish feeding amount pre-estimation method based on fuzzy algorithm

A fuzzy algorithm, feeding amount technology, applied in the direction of instruments, adaptive control, control/regulation system, etc., to avoid fish feed waste and improve accuracy

Inactive Publication Date: 2018-08-07
BEIJING RES CENT FOR INFORMATION TECH & AGRI
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Problems solved by technology

[0005] In order to overcome the above problems or at least partially solve the above problems, the present invention provides a fuzzy algorithm-based method for estimating the amount of aquatic fish feeding, which is used to effectively improve the accuracy of data measurement, thereby more accurately feeding fish Quantitative decision-making and calculation can effectively avoid problems such as waste of fish feed, water pollution and impact on production

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  • Aquatic fish feeding amount pre-estimation method based on fuzzy algorithm
  • Aquatic fish feeding amount pre-estimation method based on fuzzy algorithm
  • Aquatic fish feeding amount pre-estimation method based on fuzzy algorithm

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[0025] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the embodiment of the present invention. Some, but not all, embodiments. 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.

[0026] As an embodiment of the embodiment of the present invention, this embodiment provides a method for estimating the feeding amount of aquatic fish based on a fuzzy algorithm, refer to figure 1 , is a control principle diagram of a fuzzy algorithm-based method for estimating the feeding amount of aquatic fish according to an embodiment of the present invention, inc...

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Abstract

The invention provides an aquatic fish feeding amount pre-estimation method based on a fuzzy algorithm. The method comprises a step of performing pre-estimation on the feeding amount of a target fishshoal based on the average weight and the growth environment water temperature of a target fish shoal by means of a feeding amount pre-estimation model; wherein the feeding amount pre-estimation modelis established through performing fuzzy processing on the fish weight which corresponds with the target fish shoal and the growth environment water temperature of the target fish shoal. The aquatic fish feeding amount pre-estimation method has advantages of effectively improving data measurement accuracy, realizing more accurate fish feeding amount decision calculation, and effectively preventingproblems of fish feed wastage, water quality reduction and yield reduction.

Description

technical field [0001] The invention relates to the technical field of aquaculture information technology, and more specifically, to a method for estimating the feeding amount of aquatic fish based on a fuzzy algorithm. Background technique [0002] In the process of aquaculture fish farming, factors such as the timing of feeding, the amount of feeding, and the farming environment will have a great impact on the growth and production of fish. [0003] At present, in the actual feeding methods of fish farming, most of them are fed regularly and quantitatively according to the growth period of fish, or artificially fed according to experience, and the determination of feeding amount is mainly based on the feeding rate. The table and the manual experience of the breeder are determined. For example, use an automatic feeding device to automatically feed fish according to the set time, or use automatic sensing equipment to set working parameters, determine the feeding amount, and...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 周超陈澜孙传恒吝凯徐大明
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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