Fisch FIT Monitoring-Project Fish n Chips first

Fisch. FIT Monitoring-Project Fish ‘n’ Chips – first results in health management of aquaculture Daniela Baganz & Georg Staaks & Oliver Jauernig Hans-Ullrich Balzer & Sandra Jauernig 0 © Fisch-Otto Teichwirtschaft

Fisch. FIT Project partners. Fish. FIT-Monitoring project Leibniz-Institute of Freshwater Monitoring-Projekt Ecology and Inland Fisheries, Berlin ELBAU Elektronik Bauelemente Gmb. H Berlin Institute of Agricultural and Urban Ecological Projects (IASP) Fraunhofer Institute of Reliability, System Design and Integration (IZM) Aqua. Life 2010 1

Fisch. FIT Topics Monitoring-Projekt n Situation in European Aquaculture n Objectives of the Project n Technical Principle of the Fisch. FIT- Monitoring n Chronobiological Methods of the Data Analysis n Results of the First Measurements n Perspectives Aqua. Life 2010 2

n Rather high risk of losses based on different reasons n Intensive production with high stocking densities n Rather bad observing and monitoring conditions n High educational level results in high acceptance for innovations n Monitoring-Projekt Young and dynamic branch of animal production n Fisch. FIT Situation in European Aquacultur Economical potential, minimise losses, high quality products Aqua. Life 2010 3

Fisch. FIT Health analysis and Monitoring-Projekt Recently used methods to analyse health and to prevent losses: n Semi-automatic recording of water supply and water quality parameters n Observation and evaluation of fish health via activity, food uptake and daily losses n Occasionally microscopical parasitologic and haematologic examinations by a veterinarian ? ? ? Aqua. Life 2010 4

Fisch. FIT Objectives Monitoring-Projekt to improve the situation n Development of an innovative measurement and diagnostic system for an early and detailed analysis of fish health, fitness and welfare in aquaculture n Recording and telemetric transmission of physiologic data of monitor-fish by autonomous, injectable microsensor systems n Automated longtime monitoring and control of fish stocks n Reliable and cost effective health diagnostic system, indicating of physiological alterations and / or behavioural irregularities in fishes ? Aqua. Life 2010 ? ? ? 5

n Measurement of physiological and behavioural parameters directly in the animal n Data evaluation via diagnosis- software n Monitoring-Projekt Using implantable electronic multi-sensors n Fisch. FIT Principle of Fisch. FIT - Monitoring To do: ¨ Technically develop and test the sensor ¨ Set up experiments with defined stress situations and diseases ¨ Develop data analysis solutions Aqua. Life 2010 6

Fisch. FIT Design and function of the sensor n Miniaturised multisensor (e. Grain) n As small as possible (25 x 6 x 2. 5 mm) n Injectable n Monitoring-Projekt Long time operation - 3 years + rechargeable Electrodes for measuring electric potentials Pressure and temperature sensor 3 D-acceleration Communication unit processor Biocompatible housing battery/accumulator Aqua. Life 2010 7

Fisch. FIT Position of the sensor n Monitoring-Projekt The sensors are implanted ventrally into the body cavity between pectoral and ventral fins Implanted sensor-e. Grains battery/ accumulator processor communication unit 3 D-acceleration electrodes for measuring electric potentials pressure and temperatur sensor temperatur senor biocompatible housing Aqua. Life 2010 8

Fisch. FIT Measuring parameters Monitoring-Projekt n Parameters and physiological or behavioural processes or functions Temperature Inflammatory processes, adjustment factor 3 -D- acceleration Locomotor activity, position, speed of reaction Skin or tissue resistance Vegetative- emotional reaction, sympathetic nervous system Potential of skin or tissue Vegetative- nerval reaction, parasympathetic nervous system Electric Myoactivity Muscular reaction, locomotor activity Breath and heart rate Excitement, activity, tension, stress, exhaustion Aqua. Life 2010 9

Fisch. FIT Distribution of fish and sensor distances Monitoring-Projekt n Theoretical distribution of fish in a rearing tank Fish-Positions Tagged Fish n Amount of monitor fish (between 1 -5 % of the stock) n Representative due to high stocking densities and epedemical outbreaks 200 100 0 0 100 200 300 400 500 600 700 n Tanks size 8 x 2 x 1, 25 m n Mass kg/Fisch 0, 5 n Tank volume 20 m³ n Fish/m³ 100 n Stocking density 50 kg/m³ n Fish number 800 2000 Aqua. Life 2010 10

Fisch. FIT Distribution of fish and sensor distances Monitoring-Projekt n Modelled distribution of tagged fishes in a rearing tank n Amount of monitor fish (between 1 -5 % of the stock) n Representative due to high stocking densities and epedemical outbreaks Fish-Positions Tagged Fish 200 100 200 300 400 500 600 700 n Tanks size 8 x 2 x 1, 25 m n Mass kg/Fisch 0, 5 n Tank volume 20 m³ n Fish/m³ 100 n Stocking density 50 kg/m³ n Fish number 800 2000 Aqua. Life 2010 11

Fisch. FIT Distribution of fish and sensor distances Monitoring-Projekt n Modelled distribution of tagged fishes in a rearing tank n Amount of monitor fish (between 1 -5 % of the stock) n Representative due to high stocking densities and epedemical outbreaks Fish-Positions Tagged Fish 200 100 0 0 100 200 300 400 500 600 700 n Tanks size 8 x 2 x 1, 25 m n Mass kg/Fisch 0, 5 n Tank volume 20 m³ n Fish/m³ 100 n Stocking density 50 kg/m³ n Fish number 800 2000 Aqua. Life 2010 12

Fisch. FIT Distribution of fish and sensor distances Monitoring-Projekt n Modelled distribution of tagged fishes in a rearing tank n Amount of monitor fish (between 1 -5 % of the stock) n Representative due to high stocking densities and epedemical outbreaks Fish-Positions Tagged Fish 200 100 0 0 100 200 300 400 500 600 700 n Tanks size 8 x 2 x 1, 25 m n Mass kg/Fisch 0, 5 n Tank volume 20 m³ n Fish/m³ 100 n Stocking density 50 kg/m³ n Fish number 800 2000 Aqua. Life 2010 13

Fisch. FIT Distribution of fish and sensor distances Monitoring-Projekt n Modelled distribution of tagged fishes in a rearing tank n Amount of monitor fish (between 1 -5 % of the stock) n Representative due to high stocking densities and epedemical outbreaks Fish-Positions Tagged Fish 200 100 0 0 100 200 300 400 500 600 700 n Tanks size 8 x 2 x 1, 25 m n Mass kg/Fisch 0, 5 n Tank volume 20 m³ n Fish/m³ 100 n Stocking density 50 kg/m³ n Fish number 800 2000 Aqua. Life 2010 14

Fisch. FIT Experimental design (1) Monitoring-Projekt Environmental factors n Pathogens n Technology related influences. . . n Light Handling Feeding competition Temperature Water quality oxygen CO 2 p. H NH 4 Swimming activity Heart frequency Breath frequency skin-/tissue potencial Aqua. Life 2010 Parasites / Bacteria Viruses 15

Fisch. FIT Experimental design (2) Monitoring-Projekt n Aquarium (lateral view) with environmental measurement technique, receiver station and 3 D-video recording ¨ About 1. 5 x 1. 5 m ¨ Feeding device ¨ Recirculation System with mechanical and biological filtration ¨ Open recirculation added fresh water Aqua. Life 2010 16

Fisch. FIT Experimental design (3) n Aquarium (top view) with environmental measurement technique and inductor coil for recharging of the sensor node ¨ Situated in a climatic chamber ¨ Dimmable light up to 1400 lx ¨ Monitoring-Projekt IR-Light (for night phase) Aqua. Life 2010 17

Fisch. FIT Data transfer and analysis Monitoring-Projekt Physiological and behavioural parameters Status analysis Synchronisation analysis bio. stream - Software Event recognition unit Aqua. Life 2010 18

Fisch. FIT First Results Exemplary data series of measured skin resistance and acceleration values Fish Gustav 41 Vegetative reaction / Behavioural reaction 1 0, 8 2500 0, 6 0, 4 2000 0, 2 0 1500 -0, 2 1000 -0, 4 -0, 6 500 HW 3 d - z Aqua. Life 2010 16: 08: 50 16: 08: 40 16: 08: 30 16: 08: 20 16: 08: 10 16: 08: 00 16: 07: 50 16: 07: 40 16: 07: 30 16: 07: 20 16: 07: 10 16: 07: 00 16: 06: 50 16: 06: 40 16: 06: 30 16: 06: 20 16: 06: 10 0 -0, 8 16: 00 Skin resistance[Ohm] 3000 3 D accelaration[g] n Monitoring-Projekt -1 3 d - y 19

Fisch. FIT Chronobiology of physiological functions Monitoring-Projekt n Chronobiological data analysis, rhythmic regulation of the parameter n physiological function tends to oscillate between maximum and minimum value n period length depends on the activity status of the organism n stressed organism: short period length, fast regulation, fast reaction n relaxed organism: longer period length, slow regulation, slow reaction Aqua. Life 2010 20

Fisch. FIT Chronobiological data analysis n Single parameter analysis Original data Monitoring-Projekt bio. stream - Software Trend elimination Model functions of time series ACF, Cosinor, Powerspectrum Comparison of models Selection of the best fit Dynamic analysis of periods moving main period length Stability analysis Crosscorrell. model/data Stable / instable periods Neuronal Network Regulatory states Regulatory pattern Aqua. Life 2010 ing ain Tr se ha p Frequency distribution Periods in a time window Visual determination of Regulatory states (Selection of training series) 21

Aqua. Life 2010 Fisch. FIT Periodical system of regulatory states Monitoring-Projekt 22

Fisch. FIT Results (2) Plot of the assigned regulatory states for measured acceleration data Fish Otto 3 09. 07. 2009 Locomotory behaviour Locomotor behaviour 0 10 20 Regulation state n Monitoring-Projekt 30 40 50 60 70 80 15: 19: 54 15: 20: 54 15: 21: 54 15: 22: 54 15: 23: 54 15: 24: 54 15: 25: 54 15: 26: 54 15: 27: 54 15: 28: 54 15: 29: 54 15: 30: 54 Time x y Aqua. Life 2010 z 23

Fisch. FIT Regulatory pattern (1) Monitoring-Projekt Frequency pattern of the regulatory states of all measured parameters 2 - 2: 30 pm frequency (%) n adaptive concentrated dysregulated disintegrated deactivated Aqua. Life 2010 24

Fisch. FIT Regulatory pattern (2) Monitoring-Projekt Frequency pattern of the regulatory states of all measured parameters 5 - 5: 30 pm frequency (%) n adaptive concentrated dysregulated disintegrated deactivated Aqua. Life 2010 25

Fisch. FIT Regulatory pattern (3) Monitoring-Projekt Frequency pattern of the regulatory states of all measured parameters 9 - 9: 30 pm frequency (%) n adaptive concentrated dysregulated disintegrated deactivated Aqua. Life 2010 26

Fisch. FIT Summary n Monitoring-Projekt Development of the technical solution and the data analysis procedure for ¨ Improvement of health monitoring and disease prophylaxis in aquaculture ¨ Technological optimisation and certification of aquaculture production processes ¨ Improvement of investigation methods of physiology, behavior and welfare in fish related research Aqua. Life 2010 27

Fisch. FIT Next steps Monitoring-Projekt n Investigation of regulatory patterns in typical stress situations n Combination of regulatory patterns analysis with behavioural video monitoring n Monitoring to enable forecasts of behavioural pattern n Visualisation and user communication for practical use o o Data-transfer to already existing environmental monitoring systems o n Visualisation of alarm situations via traffic light system Integration in a fish farm management system Complex evaluation of health situations including environmental and technological parameters by an expert system Aqua. Life 2010 28

Fisch. FIT Further perspectives Monitoring-Projekt n Monitoring in bigger systems like rearing ponds n Physiologic field telemetry in lakes and rivers n Tracking of fish schools in pelagic areas Aqua. Life 2010 29

Fisch. FIT Monitoring-Projekt Thank You for Your kind attention Aqua. Life 2010 30