Control of feed dispensation in seacages using underwater video monitoring: effects on growth and food conversion

Ang, Keng Pee; Petrell, Royann J.

doi:10.1016/s0144-8609(96)01012-6

Cited by 55 publications

(30 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Table 3 presents the fish mean weight at the beginning and end of the experiment, as well as the total biomass produced, feed intake, and feed conversion rate for each tank of the two treatments analyzed in this work. It can be seen that feed conversion rate in treatment 1 was 2.26, while in treatment 2 it was 1.54; consequently a 29.10% (equivalent to 105.3 kg) of food was saved in treatment 2 where the feeder with fuzzy-logic control was used for fish feeding, despite the growth potential of fish population was supported with the food provided rations, therefore, the feeder with fuzzy-logic control provides precise food quantities (Ang and Petrell 1997). These results substantiate the possibility of using a feeder with fuzzy-logic control for food management in intensive aquaculture systems, in order to minimize water pollution, save food (reduce the feed conversion rate), and accordingly avoid economic losses.…”

Section: Fuzzy-logic Control Simulation Resultsmentioning

confidence: 98%

See 1 more Smart Citation

Fuzzy-logic-based feeder system for intensive tilapia production (Oreochromis niloticus)

et al. 2009

View full text Add to dashboard Cite

In high-fish-density aquaculture systems, tilapia producers are compelled to provide 100% of food required to obtain profitable growth rates. It is well known that fish have a low food conversion rate and feeding represents the most important expenditure, approximately 40% of total production cost. Therefore, precise quantities of food should be provided to avoid water pollution and economic losses due to food waste when water conditions are inadequate for fish feeding. A way to control food provisions in this work was determined by the conditions of temperature, dissolved oxygen, fish age, and body weight, since these variables have a direct effect on fish metabolism and growth. Thus, a change in metabolism is reflected in a modification of energy requirements and, as a consequence, in variations of food consumption. In this work, a new feeder with fuzzylogic control algorithms is proposed for fish feeding; this technique allows farmer knowledge to be taken into account in a series of if-then-type rules. To define these rules the temperature and dissolve oxygen were considered in order to provide precise food quantities. The results show minimal differences in growth (P [ 0.05) between treatments, important food saving of 29.12% (equivalent to 105.3 kg), and lower water pollution (reduced water dissolved solids and ammonium components) compared with timed feeders. This system provides an important contribution to sustainability of intensive aquaculture systems, increasing productivity and profitability, and optimizing water use.

show abstract

Section: Fuzzy-logic Control Simulation Resultsmentioning

confidence: 98%

“…Competition behaviors are reduced if all fish are fed similarly throughout the tank, giving wide access to food (Jobling et al 1995). A food ration is adequate if it is consumed with little waste and supports the potential growth of fish population (Ang and Petrell 1997).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy-logic-based feeder system for intensive tilapia production (Oreochromis niloticus)

et al. 2009

View full text Add to dashboard Cite

show abstract

“…Nevertheless, there are ways in which such variation can be accommodated in fish farming. When fish are fed manually, signs that the fish are becoming sated, such as reduced response to feed, can be used to decide when to stop feed delivery, but this may be inaccurate as subsurface feeding may be taking place even though surface feeding has ceased (Juell 1995;Ang & Petrell 1997;Talbot et al 1999). Some automated feed delivery systems can be programmed to match what is known about natural variation in feeding activity, over a range of time scales.…”

Section: Solutions To Problems For Fish Culture Arising From Natural mentioning

confidence: 99%

“…Such feed delivery systems take fluctuations in fish appetite into account, something that is not done by preprogrammed, timed-release automatic feeders that deliver predetermined amounts of feed each day. Appetite-based demand feeders are of two kinds (Chapter 3), self-feeders, in which fish obtain food by pulling, pushing or biting a trigger (Alanärä 1992b), and interactive feedback systems; these detect either fish feeding activity or waste feed using infra-red sensors (Blyth et al 1993), underwater video-cameras (Ang & Petrell 1997) or hydro-acoustic instruments (Juell 1991;Summerfelt et al 1995) and then adjust feed delivery accordingly (Houlihan et al 2001;Le François et al 2010). Feeding by means of operant self-feeders has been used successfully for a number of species, including rainbow trout (Landless 1976;Alanärä 1994Alanärä , 1996, European seabass (Sánchez-Vázquez et al 1994), Atlantic salmon (Paspatis & Boujard 1996) and yellowtail (Kohbara et al 2003).…”

Section: Appetite-based Demand Feeding Systemsmentioning

confidence: 99%

Appetite and Feed Intake

Jobling

Alanärä

Noble

et al. 2012

Aquaculture and Behavior

View full text Add to dashboard Cite

This chapter first describes changes in appetite that occur over different time scales in wild fish and the physiological mechanisms that generate these changes. It then gives an account of how food intake and appetite change as young fish develop and mature and the effects of genetic variation and differential experience on these processes. The costs of sustaining a high rate of food intake are then described, as is the way in which these are balanced against the obvious benefits of gaining a good supply of nutrients. The benefits gained by regular appetite cycles are also considered. The implications of natural appetite patterns for fish culture are then discussed, including problems arising from underfeeding and overfeeding and those resulting from failure to match feed delivery to current appetite. Underfeeding causes slow, uneven growth and high levels of aggression, as well as stress and mortality, while overfeeding may result in inefficient production and adverse environmental impact. Potential solutions to such problems are discussed, including the use of on-demand feeding systems that match delivery to appetite. The effects of domestication and captive rearing on feed intake are then considered, together with possible ways of mitigating such effects in fish that are cultured for release.

show abstract

“…In interactive feedback systems, the amount of feed delivered is regulated by the amount of feed waste and the number of uneaten pellets. Feed waste can be estimated by using an infra-red pellet sensor (Blyth et al 1993) or a camera-based pellet detection (Ang and Petrell 1997). In this review, we present the results of representative studies that use demand feeders in both laboratory and production conditions, outlining the aspects that could be interesting for those who want to improve welfare in farmed fish.…”

Section: Introductionmentioning

confidence: 99%

Demand feeding and welfare in farmed fish

Attia

Millot

Di-Poï

et al. 2011

Fish Physiol Biochem

View full text Add to dashboard Cite

Following the development of demand-feeding systems, many experiments have been conducted to explore feeding motivation and feed intake in farmed fish. This work aims to review a selection of studies in the field, focusing on three key factors, related to demand feeding and fish welfare. Firstly, we outline how demand feeders should be considered when developing feed management strategies for improving welfare in production conditions. Secondly, via laboratory demand-feeding experiments, we show self-feeding activities depend not only on feeding motivation and social organisation, but also on individual learning capacity and risk-taking behaviour. Thirdly, we report encouraging results demonstrating that when presented with two or more self-feeders containing complementary foods, fish select a diet according to their specific nutritional requirements, suggesting that demand feeders could be used to improve welfare by allowing fish to meet their nutritional needs.

show abstract

Control of feed dispensation in seacages using underwater video monitoring: effects on growth and food conversion

Cited by 55 publications

References 19 publications

Fuzzy-logic-based feeder system for intensive tilapia production (Oreochromis niloticus)

Fuzzy-logic-based feeder system for intensive tilapia production (Oreochromis niloticus)

Appetite and Feed Intake

Demand feeding and welfare in farmed fish

Contact Info

Product

Resources

About