Introduction:
One of the most rapidly developing food production industries globally has been identified as aquaculture which provides over 50% of the total fish that is consumed throughout the world. Due to the growing demand of seafood, manufacturers which have the running water system (raceway, flow-through tanks, recirculating aquaculture systems (RAS), etc.) have had to put increasing stress on maximizing their yield using minimum expenditure of their resources. Of the numerous challenges in the systems in operation, feed management is the most cost-driving factor and also the most critical contributor to risk to the environment.
In commercial fish farming, feed normally contributes 40-70 percent of the total costs of production. When the unused feed is added to flowing system, the current swallows the uneaten pellets and sinks to the bottom of tanks or empties into effluents streams. This wasted feed decays resulting in ammonia, nitrites, and phosphorus.
Precise feeding in aquaculture is a concept that involves the use of data-driven and technology-oriented practices to provide the correct amount of feed to be used on the appropriate time, in the appropriate environmental conditions. Instead of making use of fixed schedules or visual estimates, precise feeding uses real-time sensor data, behavioral monitoring, and feed conversion analytics to remove the use of guesswork. Precision techniques can be used in flowing systems especially where the flow of water influences the distribution of feed and fish behavior, therefore saving a significant amount of waste, enhancing growth performance, and sustainable production practices.
Automated Feeders and Sensors:
Precision feeding has become a practical and scalable solution to the contemporary aquaculture processes through the introduction of automated feeding systems to turn the notion into a reality. The earliest automated feeders used were just timed feeders, which released a set amount of feed at a set time interval whether the fish is hungry or not and whether the environmental conditions are suitable or not. Modern systems are much more developed, which incorporate mechanical feeders along with a set of sensors that constantly evaluate the feeding behaviors and water parameters. With modern technology, minimize feed waste fish farming is possible.
Real time detection of the uneaten feed pellets in the tank floor or in the water column can be done through the underwater camera systems with image recognition algorithm. The system also automatically slows down or halts feeding when the system recognizes excess feed, which is called demand-responsive feeding. Simultaneously, infrared cameras and sound detectors would be capable of recognizing fish surfacing and feeding attacks, which would be indirect indicators of stomach fullness. These are fed to control software which dynamically controls the dispensing rates during each feeding session.
Water quality sensors are also equally important. Raceways and tanks have dissolved oxygen (DO) probes, pH meters and ammonia sensors that are placed in key areas of a stream of flow. As the fish metabolism peaks after the feeding - temporarily raising the oxygen requirements and ammonia release - feeding programs can predict the changes in the biochemical processes and react to them before they start to be harmful by combining these measurements. (Atoum et al., 2015).
Optimization of Feed Conversion Ratio (FCR):
A Feed Quantity Modification by Growth Rates. Feed Conversion Ratio (FCR) is the standard measure of the feeding efficiency in the aquaculture that is measured by the amount of weight fed to the fish in relation to the weight gain. Reduced FCR implies a more effective use of feed; an example of this is that an FCR of 1.2 implies that 1.2 kg of feed is used to grow 1 kg of fish biomass. Species like Atlantic salmon, rainbow trout and tilapia can be kept at 1.0-1.4 in well managed flowing systems with precision feeding systems versus 1.8-2.5 of poorly operated systems.
In flowing water systems temperature is one such variable that is influential. The rate of metabolism in fish is highly dependent on water temperature; during warm weather, feeding rooms should be increased and during cold weather they should be decreased in order to prevent excess. Also, FCR-tracking software detects performance anomalies such as abrupt decreases in feed consumption can be an indication of disease outbreaks, water quality incidences, or stocking density issues, thus allowing early intervention before the losses of production can increase (Jobling, 2010).
When and How Often to Feed:
Under flowing aquaculture, there is no way to disassociate hydraulic and biological conditions within the tank or raceway with the timing and frequency of feeding. In contrast to the case of the static pond systems, the flowing fish tank feeding strategy offer a dynamic environment whereby the parameters of feed distribution, fish location, and water quality keep changing as water passes through the system.
The most important parameter, which is arguably the most important to determine the feeding schedule design, is dissolved oxygen. Fish need higher oxygen in order to digest and uptake nutrients successfully; at doses lower than the species-specific levels, say 6-7 mg/L of salmonid, the digestive ability declines, food consumption declines, and the FCR deteriorates. Flow rates are variable or fish densities are large
in systems such that the levels of DO during the day may change significantly. Manufacturers with exact feeding guidelines synchronize key feeding occasions with intervals of maximum oxygenation which are usually in the early morning and late afternoon during which water temperatures reach their lowest and aerator efficiency the most.
![Precision Feeding Techniques in Flowing Aquaculture System 2]()
Waste Minimization Measures:
Despite the presence of the precision feeding protocols, a certain amount of waste feed and the accumulation of the metabolic byproducts is unavoidable in the intensive flowing systems. Precision feeding is supported by a series of physical waste management plans that ensure that water remains safe and environmentally discharge is reduced.
At the discharge points, sediment traps or swirl separators and drum filters are used in order to intercept suspended solids, such as feed fragments and fecal matter that are not consumed, prior to water leaving the system. In the raceway designs, the reduce velocity of the water column enables lighter particles to be separated out of the water column in settling zones at the downstream end of every channel.
Dissolved ammonia is converted to less harmful nitrate by the process of nitrification in the biological filtration in recirculating components of hybrid systems, enabling higher stocking densities without a corresponding increase in the effects of feed wastes. (Timmons & Ebeling, 2013).
Conclusion
In addition to the economic aspect, precision feeding also contributes to long-term sustainability of aquaculture through lessening the amount of nutrients discharged into the waters that receive them, enabling producers to comply with more and more rigorous environmental regulations, and establishing a base of responsible management. Today, sensor technology, machine learning, and data analytics are constantly improving, so the accuracy of the feeding systems in the future will be able to react to biological and environmental cues to an even greater extent.
References:
1. Atoum, Y., Srivastava, S., & Liu, X. (2015). Automatic feeding control for dense aquaculture fish tanks. IEEE Signal Processing Letters, 22(8), 1089–1093.
2. Jobling, M. (2010). Fish Nutrition and Feeding. Blackwell Science, Oxford.
3. Roque d'Orbcastel, E., Blancheton, J. P., & Belaud, A. (2009). Water quality and sea bass (Dicentrarchus labrax) in a recirculating aquaculture system. Aquacultural Engineering, 40(2), 85–91.
4. Timmons, M. B., & Ebeling, J. M. (2013). Recirculating Aquaculture (3rd ed.). Ithaca Publishing Company.
5. Cho, C. Y., & Bureau, D. P. (2001). A review of diet formulation strategies and feeding systems to reduce excretory and waste outputs in aquaculture. Aquaculture Research, 32(S1), 349–360.
6. Føre, M., Frank, K., Norton, T., Svendsen, E., Alfredsen, J. A., Dempster, T., & Berckmans, D. (2018). Precision fish farming: A new framework to improve production in aquaculture. Biosystems Engineering, 173, 176–193.