Multi-resource Information Fusion Methods For Precision Fish Feeding

Aquaculture is the practice of raising fish food or resources,almost 50%of sea food comes from aquaculture,it increases almost 9%in last few decays.Fish feeding and growth measurement is a challenging task in aquaculture which should be considered seriously to make aquaculture fruitful,60%of feed is wasted due to improper utilizing the resources and technology.Proper management of aquaculture component i.e.fish feeding,water quality,fish diagnosis and efficiently utilizing the technological resources can overcome these problems.Use of technology,sensors,wireless sensor network and monitoring system,computer vision and Modeling strategies for fish growth in aquaculture is not new.Most of the literature related to modeling has most concern with mathematical modeling with lack of other factors involvement;literature study related to technology has lack of integrated system.Therefore,the aim is to study and mention the factors effecting feed intake modeling strategies and integrated effect of technology used in aquaculture in form of information fusion.Moreover,we designed a system to investigate the fish biomass effect on water using a time frequency analysis based on acoustic pressure.This study identifies and describes briefly the current state of feed intake modeling and technology such as sensor and computer vision in aquaculture component:quality of water,behavior,disease,waste management in aqaculture.We presented that external factors as environmental factors,nutritional factors,husbandry and physiological effects feed intake and could be take into account while modeling the feeding strategies to make more beneficial for growth.We also presented fusion approach among the different aquaculture components:feeding,fish disease diagnosis,behaviour,and waste management based on sensor and computer vision.Moreover,a portable monitoring system designed in a condition to study effect of fish biomass on acoustic pressure frequency,amplitude and pulse response.We use acoustic pressure sensor,and analog receiver(scope meter)and software program flukeview to monitor the fluctuations in aquaculture tank.In addition,we statistically compare the identified parameters as a function of time in presence and absence of fish.Similarly,statistically interpretation based on measure of dispersion(MOD)and measure of central tendencies(MCT)in different interval.This study demonstrated that acoustic frequency measurement is a simple and valuable tool for intense aquaculture environment.Acoustic signals travel rapidly in water as compared to air which can be measure using acoustic pressure frequency.Outcome of this study is a step ahead towards control feed waste and efficiently utilized feed to enhance fish growth in aquaculture based on acoustic pressure measurement.The study findings also reference the need for using acoustic pressure measurement for future research as well include computer vision techniques to integrate acoustic and computer vision based hybrid system.