Fisheries and aquaculture: digitalisation opportunities
How to connect the water environment, fish groups, feed, biomass, health, catches, equipment and market plan.
Digital maturity
moderate
Skaitmenizacijos potencialas
88/100
Biggest challenge
Water quality and oxygen changes are detected too late
Biggest opportunity
Unified platform for aquatic production and biological risks
Digitalisation must create a closed loop from water or fishing signal to worker action and a reliably traceable production batch.
Fisheries and aquaculture operating model
The business area encompasses commercial fishing, cultivation of fish and other aquatic organisms, biological environment control, harvest or catch preparation and primary sales.
The aquatic environment rapidly changes biological risk
A change in oxygen, temperature or pollution can affect the entire production group in a short period of time.
Biomass is difficult to measure without damaging production
Solutions often rely on samples and models that must be calibrated with actual yield.
Equipment reliability is directly linked to life
A pump, aerator, net or cooling system failure can cause disproportionately high losses.
Traceability includes biological and geographical origin
For the buyer and institutions, not only the batch is important, but also the location, method and conditions of catching or farming.
Market and technology context
The EU aims for more sustainable and competitive aquaculture, supporting the sector's modernisation and digital transformation. In fisheries control, electronic vessel monitoring, logbooks and harmonised data are being strengthened, resulting in the increasing convergence of biological production and regulatory reporting systems.
Digitalisation of fisheries controlThe EU is strengthening vessel monitoring, electronic logbooks and data harmonisation, gradually covering smaller vessels as well.
Direction towards more sustainable and competitive aquacultureThe EU strategy emphasises modernisation, digital transformation, reduced impact and resilience.
Feed, energy and climate riskHigh costs and volatile water conditions increase the need for real-time optimisation.
Core operating process
01
Site, voyage or cycle planning
Capacity, species, stocking or voyage, quotas, feed, employees and market demand are planned.
02
Environmental and equipment preparation
Water quality, cages or ponds, vessel, sensors, pumps, feeders and biosecurity are monitored.
03
Farming or fishing operations
Feeding, environment, biomass, health or vessel location, equipment and catch are recorded.
04
Health, biosecurity and maintenance
Alerts, samples, laboratories, treatment, disinfection, equipment and vessel works are managed.
05
Harvest, landing and quality
Time, size grades, transport, cooling, documents, first sale and batches are planned.
06
Biological and economic cycle analysis
Feed, growth, mortality, catch efficiency, energy, quality and margin are evaluated.
Digital maturity pathway
0
Paper-based and individual experience-driven management
Water measurements, feeding, catches or health events are recorded in paper logbooks and separate spreadsheets.
1
Separate digital tools
Sensors, vessel monitoring or electronic logbooks are used, but biological, technical and commercial information remains in separate systems.
2
Core operations digitalised
Core sites, groups, trips and operations are recorded digitally, but alerts, tasks, biomass and the sales plan do not yet form a single cycle.
3
The core site or voyage process is connected Typical current situation
At the selected aquaculture site or fishing process, environmental or voyage data, employee actions, equipment status, production and batch are connected in a single workflow, but coverage is not yet uniform across all operations.
4
Production is forecasted and optimised Siektina
The system forecasts water, biomass, feed, health and harvest or catch risks, and recommendations are evaluated against actual biological and economic outcomes.
5
Adaptive and ecosystem-open operations
Validated feeding, aeration, logistics or control processes are partially automated, maintaining human oversight, safety limits and a traceable decision history.
Key finding
In fisheries and aquaculture, the greatest value lies in timing: an oxygen drop, equipment failure or disease symptom must be converted into action before a significant production loss occurs.
The first version should cover one farming object or fishing operation process and connect real-time signals, group or voyage profile, worker tasks, traceability and economic result.
Related digitalisation topics
Aquaculture production managementWater quality and equipment monitoringFeed and biomass optimisationFisheries traceability platform
Problemos
Most common digitalisation challenges
The most frequent problems arise between water environment, biomass, feed, health, equipment, catches, traceability and market plan.
Water quality and oxygen changes are detected too late
Critical
Oxygen, temperature, pH, salinity, ammonia, currents, weather and equipment status data are not combined into priority alerts.
Consequences
Sudden change in conditions can cause stress, growth slowdown, disease or major fish mortality.
Biomass, growth and mortality are assessed inaccurately
Critical
Sample weighing, video data, feed, mortality, movement and environmental conditions are insufficiently integrated.
Consequences
Feeding, density, grading, sales timing and capacity are planned inaccurately.
Disease, treatment and biosecurity actions are initiated too late
Critical
Clinical signs, laboratory tests, water quality, fish movement, treatment, disinfection and staff actions are not in a single file.
Consequences
Disease spreads between groups or objects, whilst treatment and biosecurity effectiveness is difficult to assess.
Maintenance of equipment, vessels and farms typically begins after failure
Critical
Pumps, aerators, feeders, sensors, nets, vessel engines and refrigeration equipment are maintained according to a calendar or after failure.
Consequences
A failure can affect the entire biological cycle, reduce safety and cause significant production losses.
Fishing or farming site and production data are fragmented
High
Vessels, ponds, tanks, cages, fish groups, stocking, feed, catches, harvest, quality and sales are recorded in different systems.
Consequences
It is difficult to manage a single biological and economic production cycle and trace a batch to a specific catch or farming site.
Feed norms and actual consumption are not linked to growth
High
Feed batches, composition, feeding plan, actual automatic feeder operation, water conditions, biomass, behaviour and growth are analysed separately.
Consequences
Feed costs increase, water pollution rises and it is difficult to accurately forecast harvest time and biomass.
Catch, quota and electronic logbook data is duplicated
High
In fishing operations, vessel location, gear, species, quantities, landing, quotas, logbook and first sale pass through several systems.
Consequences
Administration, error and control non-compliance risks increase, whilst operational profitability is visible with delay.
Harvest, landing and market demand planning is not linked
Medium
Biomass or catch forecast, size grades, weather windows, vessel and transport capacity, processing, buyer orders and prices are planned separately.
Consequences
Production is realised at a suboptimal time, logistics or processing queues form and quality is lost.
Opportunities
Greatest digital opportunities
Single aquaculture site or fishing trip processVery high impactSelect a single aquaculture site or fishing trip process and connect critical signals, staff actions, equipment status, feed or catch, production batch and cycle economics.Faster response and traceable biological outcome
Real-time water quality and operations managementVery high impactAlign sensors, weather, currents, equipment, density, behaviour and automatically create prioritised staff tasks.Lower mortality and stress risk
Feed, biomass and growth optimisationVery high impactLink feed batches, feeding, video analysis, environment, growth, mortality and harvest forecast.Lower feed cost per unit
Fish health and biosecurity workflowsVery high impactManage signs, samples, laboratories, diagnoses, treatment, movement, disinfection and outcome.Lower disease spread risk
Digital catch, quota and fishing operations managementHigh impactConnect vessel location, fishing gear, catch, quotas, logs, landing and first sale.Less administration and better compliance
Product origin and batch traceabilityHigh impactLink catch or farming site, group, feed, treatment, environment, harvest, transport and first buyer.Food safety and buyer confidence
Harvest, landing and market planningHigh impactConnect biomass or catch forecast, size grades, weather windows, transport, processing, orders and prices.Higher realisation value
Biggest opportunity
Unified platform for aquatic production and biological risks
The greatest opportunity is a single aquatic production management chain in which environmental and equipment signals are linked to a specific fish batch or voyage, worker action, biomass or catch outcome, and production lots are traceable.
Lower mortality and disease risk
Lower feed cost per unit of production
More accurate biomass and yield forecasting
Fewer equipment and vessel downtimes
More reliable traceability of catch and production
Potential business impact
Biological survival and growthEnvironmental, health and feeding issues are detected earlier.
Feed and energy efficiencyFeeding and equipment regimes are aligned with biomass, behaviour and environment.
Equipment and vessel reliabilityCritical component condition and work are managed by risk.
Harvest and market valueBiomass and catch forecasts are linked to quality, logistics and orders.
Compliance and traceabilityElectronic logs, quota data and production batch traceability form a single control chain.
Sprendimai
How to solve these problems
Solution directions linked to specific business area problems they address.
Problema
Fishing or farming site and production data fragmented
→
Sprendimo kryptis
Aquaculture site or fishing voyage management platform
Connects site or voyage profile, employee actions, equipment, biological or catch data, production batch and economics.
Problema
Harvest, landing and market demand planning not linked
→
Sprendimo kryptis
Aquaculture site or fishing voyage management platform
Connects site or voyage profile, employee actions, equipment, biological or catch data, production batch and economics.
Problema
Water quality and oxygen changes detected too late
→
Sprendimo kryptis
Water quality, equipment and critical action system
Monitors water and equipment signals, defines priority level, creates employee task and tracks response outcome.
Problema
Equipment, vessel and farm maintenance most often initiated after disruption
→
Sprendimo kryptis
Water quality, equipment and critical action system
Monitors water and equipment signals, defines priority level, creates employee task and tracks response outcome.
Problema
Feed norms and actual consumption are not linked to growth
Feed costs increase, water pollution rises and it is difficult to accurately forecast harvest time and biomass.
→
Sprendimo kryptis
Feed, biomass, growth and health platform
Connects biomass assessment, actual feed, water conditions, growth, mortality, laboratories and biosecurity actions.
Problema
Biomass, growth and mortality are assessed inaccurately
Feeding, density, grading, sales timing and capacity are planned inaccurately.
→
Sprendimo kryptis
Feed, biomass, growth and health platform
Connects biomass assessment, actual feed, water conditions, growth, mortality, laboratories and biosecurity actions.
Recommended digital solutions
Recommended solutions must connect the biological cycle, real-time environment, employee actions and production batch.
Aquaculture site or fishing voyage management platform
Connects site or voyage profile, employee actions, equipment, biological or catch data, production batch and economics.
Water quality, equipment and critical action system
Monitors water and equipment signals, defines priority level, creates employee task and tracks response outcome.
Feed, biomass, growth and health platform
Connects biomass assessment, actual feed, water conditions, growth, mortality, laboratories and biosecurity actions.
Fishing activity, quota and electronic logbook system
Links vessel, voyage, location, gear, quotas, catches, landing and first sale.
Production batch, sales and traceability platform
Links biological cycle or voyage, harvest or landing, quality, cold chain, batch, buyer and financial result.
When the solution has the greatest value
Investment justified
Water and equipment signals are monitored on several unconnected screens
Biomass and feed requirement are often adjusted only after sample weighing
Disease and biosecurity records are kept in documents
Fishing logbook data is rewritten into commercial systems
Harvest or landing plan often does not align with buyer and logistics capacity
Reikia atsargumo
There is no reliable object, fish group or voyage identifier
Sensors are not calibrated and there is no data quality status
There is no responsible person for alerts and no fallback action process
The biomass model is not validated against actual harvest
Recommended first version
Single aquaculture site or single fishing process management: site or trip profile, critical signals, staff tasks, feed or catch, equipment status, production batch and cycle economics.
Site, group or voyage card
Shows environment, equipment, biomass or catches, feed, health, operations and batches.
Critical signal and task management
A water, equipment or control event is converted into a priority task with a traceable outcome.
Recording of actual feeding or catch
Consumed feed, catch composition, quantity, location, time and related documents are registered.
Production batch and economics report
The batch is linked to origin, quality, logistics, sales and cycle or voyage margin.
Kam pirmiausiaFarm or vessel managers · Technologists and biologists · Fish health specialists · Equipment and field workers · Quality and sales staff
What not to include in the first versionImplementation across all farms, vessels and species · Fully autonomous biological management · Replacement of all sensors · Complete processing production system
Investment priorities
Critical scenario for a single site or voyageSelect one clearly measurable water, feeding, equipment or fishing data process and connect the signal, action and outcome.
Reliable identity of site, fish group, voyage and batchStandardise site identifiers across sensors, equipment, logs, laboratories, warehouse and sales systems.
Critical signal must become a clear employee taskDefine priority level, responsible employee, response time, verification actions and escalation.
Connect the biological and economic cycleEvaluate feed, biomass, mortality, equipment, catches, quality and sales in a single scenario.
Only then expand forecasting and automatic controlDeploy smart feeding, biomass models and AI only with calibrated data and safe human control limits.
Key implementation conditions
Clearly separate fishing and aquaculture scenarios
Whilst the common data foundation may be similar, biological cultivation, voyage, quota and control workflows must be designed separately.
Sensor reliability and backup operation
Critical water and equipment signals must have a calibration, fault detection, backup measurement and clear escalation process.
Work at remote sites and at sea
Mobile workstations must operate with limited connectivity and not lose data when synchronisation is only possible later.
Biomass model calibration
Visual and growth models must be regularly verified with actual samples, sorting and final harvest data.
Human control at critical actions
Automated feeding or equipment control must operate within safe limits and allow staff to take over the process quickly.
Recommended implementation sequence
01
Aquaculture facility and fishing trip analysis
Separately describe aquaculture and fishery processes, data sources used for facilities, water, biomass, feed, vessels, catches, equipment, health and batch.
Biological or trip cycle map
Sensors, equipment and systems architecture
Baseline set of loss, response and economic KPIs
02
Selection of a single facility or trip scenario
Select one farming facility and a critical water or feeding scenario, or one fishery data process from trip to unloading.
Clearly bounded first version
Data model for facility, group or trip and events
Responsible employees and response rules
03
Signal, employee action and batch history
Connect real-time signal, production group or trip, employee task, action taken, equipment and biological status, and batch history.
Priority alerts or trip workspace
Mobile registration of actions and events
Traceable history of biological and commercial cycles
04
Biological cycle or trips pilot
Run the pilot for a sufficient period to evaluate sensor reliability, response time, mortality, feed conversion, harvesting efficiency or administration change.
Representative biological cycle or trips pilot
Sensors, alerts and employee utilisation KPIs
Analysis of impact on production and cost price
05
Development of forecasting, automation and control integrations
Expand the solution for biomass and yield forecasting, smart feeding, biosecurity, equipment maintenance, electronic controls and market planning.
Feed and biomass optimisation models
Biosecurity and equipment risk forecasting
Integrations with laboratories, control systems and buyers
Change measurement KPIs
Mortality rate% of group or cycle
Measure the outcome of the biological monitoring and health process.
Feed conversion ratiokg feed / kg growth
Measure feeding efficiency.
Biomass forecast error% of actual yield
Measure model and planning accuracy.
Critical water signal response timemin.
Measure operational response speed.
Unplanned critical equipment downtimehrs.
Measure maintenance outcome.
Share of production batches with complete traceability chain% of batches
Measure traceability coverage.
Cycle or trip contribution margin€ or % of revenue
Measure the relationship between biological and commercial outcomes.
Key risks
Sensor data is collected, but there is no clear response procedureThe system alerts about changes in oxygen, temperature or equipment, but it is unclear who should check the signal and what action to take.Kaip suvaldyti Define priority, responsible personnel, verification actions, escalation and outcome for each critical signal.
The pilot period does not cover a significant biological cycleThe solution is evaluated too briefly or during a quiet season, meaning real risks and economic impact are not verified.Kaip suvaldyti Plan the pilot to cover a representative growth stage, harvest or sufficient number of batches.
Equipment and sensor data remain on separate platformsFeeding systems, recirculation, water sensors, vessel systems and laboratories do not provide a single view of a site or batch.Kaip suvaldyti Define common object identifiers, data export, APIs and clear rights to use equipment-generated data.
The model recommendation does not account for the specific species and systemA biomass, behaviour or feeding model is applied under different water, density or equipment conditions than those it was calibrated for.Kaip suvaldyti Clearly define the scope of the model, regularly validate it with actual samples and display uncertainty.
Automated feeding relies on an incorrect biomass estimateOverestimated or underestimated biomass leads to excess feed, poorer water quality or slower growth.Kaip suvaldyti Verify biomass with multiple sources, set safe rate limits and monitor feed response and actual growth.
Inovacijos
More advanced digital innovations
Advanced models must be calibrated to the specific species and system and operate in conjunction with clear biosecurity, equipment and human response processes.
Market expansion2
Underwater computer vision for biomass and behaviour
Highly urgent
Camera models assess fish size, density, swimming behaviour, feeding response and potential health changes.
How it is applied Models are calibrated to the specific species, water clarity and farming system, and the results are used for feeding and inspection priorities.
What value can be created
More accurate biomass and feeding
Earlier detection of behavioural changes
What is needed for this to work
High-quality video data
Reliable samples and harvest measurements
Species biological context
Short-term perspectiveCommercial solutions are available
AI-driven feeding optimisation
Highly urgent
Models combine vision, environmental conditions, feeding response, biomass and growth target to adjust feeding time and rate.
How it is applied Automatic control has safe limits, feed and sensor quality control, and human ability to take over the process.
What value can be created
Lower feed conversion ratio
Lower water pollution
What is needed for this to work
Biomass model
Feed and environmental data
Reliable automated feeding equipment
Medium-termApplied in practice
Early stage2
Digital twin of the aquaculture facility
Relevant
The model integrates water flows, oxygen, temperature, equipment, biomass, feed, energy and biological scenarios.
How it is applied Used for density, feeding, aeration, yield and failure scenarios, whilst explicitly managing model uncertainty.
What value can be created
More accurate capacity and yield planning
Lower biological incident risk
What is needed for this to work
Calibrated water and biological model
Real-time sensors
Asset and batch data
Long-term perspectivePilot projects
Electronic fisheries monitoring
Relevant
Video, location, sensor and electronic log data help document fishing activity, catch composition and compliance with regulations.
How it is applied The solution has clear privacy, data retention, review and dispute rules.
What value can be created
Less manual reporting work
More reliable control and scientific data
What is needed for this to work
Vessel equipment and log integration
Data quality and rights model
Interoperability between institutions
Medium-termApplied in practice
D.U.K.
Frequently asked questions
Can the same management system be used for fisheries and aquaculture?
The principles of facilities, batches, documents and traceability can be shared, but the core processes differ. In aquaculture, the most important cycles are water, biomass, feeding and health, whilst in fisheries they are voyage, location, gear, quotas, catch, landing and first sale.
Where to start with aquaculture farm digitalisation?
It is best to select one production facility and one critical process, such as oxygen depletion or feed management. The signal, specific fish group, worker action and biological and economic outcome need to be linked.
How to ensure that water sensor alerts are reliable?
Critical sensors must be regularly calibrated, and the system must be able to detect their failure or unusual data behaviour. For important parameters, it is worth having a backup measurement method and clear escalation if signals do not match.
Can computer vision accurately determine fish biomass?
It can significantly increase assessment frequency and reduce the need for manual sampling, but the result depends on species, size, water clarity, camera location and density. The model must be calibrated with actual samples and final harvest data.
When is intelligent feed management worthwhile?
When feed represents a significant portion of cost price and the farm can reliably measure biomass, actual feed, water conditions and growth. Return on investment is assessed by feed conversion, growth rate, mortality, water quality and staff time.
How to integrate fishing logs, quotas and commercial accounting?
Vessel, voyage, fishing gear, species, catch, landing and sales data must use the same identifiers. Data submitted to authorities should also be used for internal voyage profitability and quota control analysis, so it does not need to be entered twice.
Next step
Link water signals, biological cycle and production batch
Identify which gap in environmental, biomass, feed, equipment, catch or traceability data is currently causing the greatest biological and financial losses.