Bringing intelligent software and digitalization to the ... relations... · Next generation feeding...
Transcript of Bringing intelligent software and digitalization to the ... relations... · Next generation feeding...
Bringing intelligent software and digitalization to the aqua industry
NASF Bergen 7. March, 2019
Petter I. JenssenCDOAKVA Group
Technology for sustainable biology
40 years of pioneering technology innovation and deliveries in over 65 countries worldwide- > 50% market share worldwide in “Control system IT/OT” and “Planning and optimizing SW”- New AI solution developed and tested over 3 years with ~10.000 hours of real life testing across 3 continents
Cage Based Technology Land Based Technology Software
Technology for sustainable biology
How can digitalization help the Industry ?- Digitalization advancement is (at the moment) exponential and provides massive opportunities
• Are we moving fast enough?
• How can we bring a set of digital initiatives to scale?
• How do we monetize thenew, digitalized processes
• Who gets the benefits?• Buy or build? • Co-opetition? Shared
solutions?
Key questions
Technology for sustainable biology
It is early days for aquaculture digitalization, but a lot of innovation is seen in the pursuit of reducing cost, increasing output and enabling growth
Aquaculture? Doing completely new things• Better understanding of the fish’s biology and genetics• Better understanding of farming’s interaction with the environment• Improve fish welfare/ breeding strategies • Reduced environmental footprint and diseases • Experiment with new business models• EXAMPLE: ”Feeding as a Service”
Reduce cost
Increase output
New growth
Doing the right things• Big data and artificial intelligence can contribute significantly to
insight in biology and the interaction between the fish, technology, environment (health, lice, feed, ..) – biomass optimization
• EXAMPLE: Aqua Cloud lice prediction models• EXAMPLE: Fishtalk Planner and Optimizer
Doing things right• Take away the human “error”, automate work processes and create more
cost-effective operations• Improved maintenance / less breakdowns and increased safety• More targeted, non-invasive treatment (lice)• EXAMPLE: Remote operations / Feeding control centres
*) Source: DnB, AKVA Group analysis
Technology for sustainable biology
The industry needs to unlock the potential of digitalization- Prediction – the Aqua Industry will spend significantly more on IT over the next 5 years
Young and relatively immature Industry• Aquaculture companies, and their suppliers, have
moderately low levels of IT spending, focused primarily on ERP/PLM /back-office, manufacturing/real time monitoring, and supply chain functions. Less customer-facing systems and use of AI and other emerging technologies
Tremendous business case• Software spend is ~ 1 % of revenue in the AQUA
industry (vs. 3-7% in digitally intensive/- matureindustries)
• We expect the industry to embrace innovative digitalization strategies to achive spectacularimprovements
• This will mean both renewal strategies i.e. legacymodernisation and consolidation, but even more new and innovative use of IT
AQUA sector at ~1 %
Source: Deloitte (2017), Computer Economics (2018), AKVA Group analysis
• Thus, spend on both operational and capital IT-spend is expected to increase significantly
Technology for sustainable biology
Where should we look to find the potential biggestimpacts of digitalization in fish farming?
Effort
Impact
- Relative cost size and potential improvement opportunity -
Precision feeding
> 5,5 b EUR
Mortality
>3 b EUR
*) Source: Salmon industry handbook, 2018 **) Source: Nofima /iLaks; (2018), Intrafish (feb 2019)
Illustrative
Reducedopex
> 1,5 b EUR
Lice>1 b EUR
Technology for sustainable biology
• Cloud based SW solutions with open standards / API’s and unrivalled user experience
• Unique data platform with value added capabilities that is co-existing with other key players in the marketplace
• Leading, practical AI applications to drive benefits from combination of vast historical data and real time data
• Holistic approach with “fit for purpose” solutions – not pushing point solutions
• Information security at the forefront to cater for a safe «IoTrevolution»
• Global reach and support – rapid industrialisation and roll-out of new best practices concepts x-regions / x-continents
What AKVA Group believes in and will deliver on- We will help farmers getting from ART to SCIENCE in performance feeding, biomass prediction and health/ environmental control and monitoring
• «From ART to SCIENCE»• «Be open for business»• «Support the ecosystem»• «The future belongs to specialists»
– partner with the best ones• «Build –test –run» - speed to
market is key• «There are no silver bullets – just
hard work»
Guiding principlesAKVA Group initiatives
Technology for sustainable biology
Akva Groups will provide a new data platform /set of API’s– We are «Open for business» and will bring new models for enabling data access
• We will cover from the whole value chain with deepand rich industry data for the Salmon industry
• We provide 3rd party security and integrity to yourdata
• We are «open for business» for the extendedecosystem to use / consume the data in a controlledmanner
• We will also provide some of the smartest, ready-made, new applications using our data platform (20-30+) from day 1
• We are aiming to digitalize the whole industry –enabling Tier 2/3 players to become as datadrivenas the largest players
• We provide full transparency on pricing, standards and data ownership/anonymity
- Features -- Offering - simplified -
Predictive Maintenance
Production Optimization
Remote monitoring
Data sources
Data layer
Applications Simulations and visualization
Benchmarking
Gov’ regulators and Alliance
Partners
Security / integrity
HORIZONTAL DATA PLATFORM
AppStore
3rd party data clouds
FishtalkAKVA
ConnectSensors/data sources
IOT Hub
Technology for sustainable biology
Next generation feeding – where fish farming can be more efficient- The single biggest expence for farmers > 40% of total costs
• Manual inputs– Manual inputs from several disparate sources
• Variation of strategy– Feeding strategies vary from farmer to farmer
• Variation of stopping – Farmers use different depths and identify
different patterns for stopping strategies
• Increased data– Amount of data used to feed the optimum is
increasing day to day
• No real-time feeding data – No recording of actual feeding activity to
amount of food inserted
– No recording of alerts / audit trial
– Limited or no “receipt” of single biggest expence
- Farmers sits in front of up to 38 screens ~9 hours a day -
Natural inefficiencies due to high level of concentration required
- Today’s practice -
Technology for sustainable biology
From ART to SCIENCE using Artificial Intelligence- Intelligent Feeding Assistant
AI processing
Farmers
Intelligent Feeding Assistant
• Applies computer vision and machine learning – allows farmer to maximize stock value
• Simplify the feeding process by bringing all their tools and input together in one place
• Make intelligent recommendations and predictions about when and how much to feed given farm conditions and fish behaviour.
• All this is done in real time using existing infrastructures (hardware) already in place on a farm.
Localtool
Cloudmgmt tool
• No extra cage equipment - inputs already there
• Reduction of screens• Live correlation of all data • Combination of all visual factors• Self learning system
Example: New real-time control system
Example – Intelligent Feeding Assistant (AI)- Works in rough environments with only 3-4 meters sights
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Technology for sustainable biology
Example – Intelligent Feeding Assistant (AI)13
Technology for sustainable biology
Next steps - bringing more data brings more potential
• Understand and optimize correlations with FCR and SGR – hit closer to optimum
• Understand treatment plans
• Time correlating feeding activity with every other data stream
• Health anomalies alerts
• Predictions
• Biomass calculations
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Thank you !
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