Feedback type pond circulating water intelligent feeding system fusing machine vision and infrared detection technologies

Abstract

The invention discloses a feedback type pond circulating water intelligent feeding system fusing machine vision and infrared detection technologies. The system has the realization principle that according to the ingestive behaviors of a fish school, a machine vision technology and an infrared sensing technology are cooperatively utilized, and a feeding decision is provided for the feeding system;a pond circulating water culture mode uses outdoor environment; due to natural environment change such as illumination, the visibility is low, so that fish school ingestive behavior feedback signals provided by machine vision are unstable, or due to low-temperature environment, the ingestive intensity is low, so that fish school ingestive behavior feedback signals provided by an infrared sensor are low; two kinds of decision modes are fused, so that the intelligent feeding decision problems under the pond circulating water culture mode can be better solved. The system has the advantages that the operation is simple and convenient; the intelligent level is high; the pond circulating water intelligent feeding can be effectively realized.

Description

technical field [0001] The invention relates to the technical field of aquaculture machinery, in particular to a feedback type pond circulating water intelligent feeding system which combines machine vision and infrared detection technology. Background technique [0002] Fish products are an important source of protein and energy for humans, and play an important role in the process of human survival and development, mainly from fishing and aquaculture. With the growth of population and the degradation of the ecological environment, fishing can no longer meet the needs of human beings for fish resources, and aquaculture has become an important way to obtain fish products. [0003] Aquaculture refers to the production activities of breeding, cultivating and harvesting aquatic animals and plants under human control, which can be roughly divided into extensive farming, semi-extensive farming and intensive farming. The first two aquaculture methods rely too much on the natural ...

AI Technical Summary

Problems solved by technology

Early research mainly used manual direct observation to judge the feeding behavior of fish schools, which required a lot of human resources and was destructive, ignoring the welfare of the animals themselves, and only realized the detection of small areas, and could not realize continuous monitoring and real-time feedback control

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