An intelligent behavior-based fish feeding system

AlZu'bi, Hamzah S.; Al-Nuaimy, Waleed; Buckley, Jonathan; Young, Iain S.

doi:10.1109/ssd.2016.7473754

Cited by 32 publications

(27 citation statements)

References 9 publications

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“…This would largely depend on the fish farm management and proper aquaculture development [3]. 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].…”

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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Section: Introductionmentioning

confidence: 99%

Intelligent Fish Feeding Regime System using Vibration Analysis

Adegboye¹

2019

WJWDE

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“…For the detection of excess feeding, it is necessary to determine the behavior of fish in the cage during the feeding process. When fish are hungry, their behavior is to rush to the feeding area to ingest the food [10]. However, when excess feeding is provided, a big part of the fish in the cage may continue with the usual behavior they have when feed is not provided, letting it drops to the bottom of the cage.…”

Section: Introductionmentioning

confidence: 99%

The Use of Sensors for Monitoring the Feeding Process and Adjusting the Feed Supply Velocity in Fish Farms

et al. 2018

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Aquaculture is a growing industry, and its sustainability is crucial. One of its major environmental impacts is the uneaten feed that pollutes the water. To minimize the uneaten feed, many systems have been developed. Nevertheless, current systems can be improved by considering the fish position in the tank and the falling feed. In this paper, we propose a system based on fish presence sensors set at different tank heights and a feed detection sensor located in the drainage tubes. The fish presence sensor is based on light-dependent resistor (LDR). The calibration of these sensors is shown. When the output voltage is higher than 1.467 V, we can consider that fish are present. On the other side, the falling feed sensor is based on a CMOS sensor. The calibration process is performed with 40 pictures. The summation of pixels, with brightness value between 0 and 15 in the blue histogram, is used as an indicator of feed presence. If this value is higher than 520 pixels, we can consider that there is feed in the picture. Moreover, a verification process of both sensors is done. The results of the verification confirm the calibration. Finally, the operation of the system is shown.

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“…For that reason, the number of researches on fish feeding solutions is constantly increasing. A fish feeding system that considered the behavior of fish in order to determine the best time to provide the food was presented by AlZubi et al (2016). The hardware design included an automatic dispenser, a webcam and an interface circuit.…”

Section: Monitoring Systems For Fish Farmsmentioning

confidence: 99%

“…It is known that during the feeding process the fish shoal rises to the water surface to eat (AlZubi et al, 2016). Thus, when the feed process starts, the fish presence will change, and this change will be detected by the presence sensors.…”

Section: Simulation Of Feeding Processmentioning

confidence: 99%

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Study of requirements and design of sensors for monitoring water quality and feeding process in fish farms and other environments

Boronat¹

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There are many efforts done in the aquaculture to reach its sustainability, although in reality, it is far from being sustainable. Its negative impacts on the environment can be prevented and corrected by the use of sensors, developing precision aquaculture. The water quality affects to the fish performance. The temperature and salinity are some factors that affect to the fish growth. Nevertheless, other factors such as turbidity, photoperiod and dissolved oxygen among other can affect to the fish feeding needs. To adjust the amount of feed needed is crucial to ensure the sustainability of the aquaculture and to increase the economic profit of the facilities. Monitoring the water quality allows estimating the feed needs. However, it is not enough. To monitor the fish behavior, especially during the feeding period can help to adapt the provided feed. Then, if it is so clear that the monitoring can help to the aquaculture production, why we do not see this monitoring systems in the aquaculture facilities? Why in most of the facilities the feed is given manually without considering the fish feeding behavior?Nevertheless, the current price of the sensors for monitoring the fish farms is extremely high. The employed sensors are in most of the cases, the same that are used for oceanography. The proposed systems in the literature only cover some water quality parameters and usually do not consider fish feeding behavior. It is need low-cost sensors suitable for aquaculture monitoring. Those sensors must also be low-energy consumption, easy to use and with the option to include them in a network in order to send the data. Thus, we can use these sensors and sensors network to monitor the activity, to send alarms if it is necessary and to automatize processes. Moreover, including Internet, the data can be seen remotely. The use of those sensors can help to the aquaculture production.In this thesis, we show the study of requirements and design of sensors for monitoring water quality and feeding process in fish farms and other environments. First, we study in detail the requirements of sensors in aquaculture. Then, we show the state of the art of the current sensors for water quality monitoring and for aquaculture monitoring.Following, we present the design and development of some low-cost sensors and their applications in fish farm facilities with open system and recirculating system. Moreover we show a complete system which monitors up to 10 parameters including water quality (temperature, salinity, turbidity and presence of hydrocarbon/oil layer), tank environment (water level, illumination, presence of workers), and fish feeding behavior (shoal swimming depth, estimation of changes on shoal swimming velocity and feed falling). Moreover, it accomplishes the features of low-cost and low energy consumption. The estimated price for proposed system is less than 100€ per tank. In addition, we show the use of some of the aforementioned sensors for automatic adjustment of fish feeding process.Finally, some of the develop...

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An intelligent behavior-based fish feeding system

Cited by 32 publications

References 9 publications

Intelligent Fish Feeding Regime System using Vibration Analysis

Intelligent Fish Feeding Regime System using Vibration Analysis

The Use of Sensors for Monitoring the Feeding Process and Adjusting the Feed Supply Velocity in Fish Farms

Study of requirements and design of sensors for monitoring water quality and feeding process in fish farms and other environments

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