The Use of Vision in a Sustainable Aquaculture Feeding System

Lee, Jer-Vui; Loo, Joo-Ling; Chuah, Yea Dat; Tang, Pek-Yee; Tan, Yin

doi:10.19026/rjaset.6.3573

Cited by 39 publications

(20 citation statements)

References 21 publications

(23 reference statements)

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“…Towards this end, a comparison of several feeding systems is vital to establish the operating mechanisms of the structures under review. To begin with, the Sustainable Aquaculture Feed System has been equipped with a vision sensor machine that is used to estimate the amount of feed required by the livestock being reared, which prevents waste of nutrients availed to the fish [6]. Notably, the system can count the number of fish that is critical in determining the amount of food required by the fish.…”

Section: Review Of Automatic Fish Feeding Techniquesmentioning

confidence: 99%

An Intelligent Approach of the Fish Feeding System

Alammar¹,

Al-Ataby²

2018

Computer Science &Amp; Information Technology (CS &Amp; IT)

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Fish breeding is a promising branch of farming, so the creation of tools for automation of this area is quite relevant. Feeding on fish farms is the main component of the successful functioning of such businesses. However, this process requires an in-depth preparation, as each species of fish has a different food culture, as well as various behaviours during nutrition. Moreover, in the method of feeding fish, farmers must take into account the age, size of the fish, and other characteristics. This paper contains information on the creation of a Preference testing by images processing is considered as the most effective tool that can be used to determine the sensory behaviour of an animal, which can record the eating behaviour of fish and determine the degree of their hunger, and, finally, to feed them. Moreover, small fish are shyer, which provokes their malnutrition. A smart feeding system can solve the issue of uniform the distribution of food for all fishes.

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Section: Review Of Automatic Fish Feeding Techniquesmentioning

confidence: 99%

An Intelligent Approach of the Fish Feeding System

Alammar¹,

Al-Ataby²

2018

Computer Science &Amp; Information Technology (CS &Amp; IT)

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“…Estimating efficiency of fish feeding is not possible before the intake (appetite) of food by the fish has been defined, while the intake and fasting behavior of fish varies under different conditions. Lee et al [47] presented a sustainable fish feeding system by using machine vision technology on the basis of counting the number of fishes. The feeding decision has been made on the basis of information, acquired from the different resources and integrated, resulting in an algorithm using computer vision technology.…”

Section: Use Of Computer Vision Technologymentioning

confidence: 99%

Information fusion in aquaculture: a state-of the art review

Hassan¹,

Hasan²,

Li³

2016

Front. Agr. Sci. Eng.

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Efficient fish feeding is currently one of biggest challenges in aquaculture to enhance the production of fish quality and quantity. In this review, an information fusion approach was used to integrate multisensor and computer vision techniques to make fish feeding more efficient and accurate. Information fusion is a well-known technology that has been used in different fields of artificial intelligence, robotics, image processing, computer vision, sensors and wireless sensor networks. Information fusion in aquaculture is a growing field of research that is used to enhance the performance of an "industrialized" ecosystem. This review study surveys different fish feeding systems using multi-sensor data fusion, computer vision technology, and different food intake models. In addition, different fish behavior monitoring techniques are discussed, and the parameters of water, pH, dissolved oxygen, turbidity, temperature etc., necessary for the fish feeding process, are examined. Moreover, the different waste management and fish disease diagnosis techniques using different technologies, expert systems and modeling are also reviewed.

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“…The phenomenon of overfeeding has become predominant in aquaculture sector owning to the inefficient management of feed [4]. One of the causes of this challenge is attributed to the inefficiency handling of feeding system [5]. Feed management that can meet up with fish demand is very important for abundant income intensification.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Fish Feeding Regime System using Vibration Analysis

Adegboye¹

2019

WJWDE

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Aquaculture represents an important food production system with high quality protein for human consumption. The contributions of aquaculture to the world's total fish production cannot be over emphasized, however, however, feeding is the major challenges facing in aquaculture system. Thus, to address this, development of intelligent fish feeding regime system based on vibration analysis is proposed in this paper. This was accomplished with the use of a novel 8-directional Chain Code generator algorithm developed for the extraction of signals from accelerometer for the escape and feeding activities. For the escape activity, x-and zcoordinate were selected, while x-and y-coordinate were chosen for the feeding behavioural activity. The choice of coordinate selects is based on the fact that escape activity exists more between x-and z-coordinate, while feeding activity more exists between x-and y-coordinate. The set of sequence features obtained was further processed using Discrete Fourier Transform in analysing the movement boundary. The results obtained shows that developed classifier using Fourier Descriptors obtained from Chain Code is more sufficient for the recognition of different movement patterns than Fourier Descriptors obtained from movement boundary.

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The Use of Vision in a Sustainable Aquaculture Feeding System

Cited by 39 publications

References 21 publications

An Intelligent Approach of the Fish Feeding System

An Intelligent Approach of the Fish Feeding System

Information fusion in aquaculture: a state-of the art review

Intelligent Fish Feeding Regime System using Vibration Analysis

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