Aquaculture Production Optimization through Enhanced Data Analytics - - PowerPoint PPT Presentation

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Dec 14, 2022 277 likes •577 views

Aquaculture Production Optimization through Enhanced Data Analytics Aquaculture Open Data Cloud Innovation Joao Sarraipa, Kostas Seferis, Victor Prieto, Garry Cleere, Gary McManus, John McLaughlin, Tom Flynn, Ricardo Goncalves, Steven Davy

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Aquaculture Open Data Cloud Innovation

Aquaculture Production Optimization through Enhanced Data Analytics

Joao Sarraipa, Kostas Seferis, Victor Prieto, Garry Cleere, Gary McManus, John McLaughlin, Tom Flynn, Ricardo Goncalves, Steven Davy Presented by: Joao Sarraipa UNINOVA

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Why Data Analytics?

» For instance:

› Why a particular cage always has the fish that grow more efficiently?

» “I think is because …”

› If you u have e data to prove e your r stateme ements nts, you would say:

» “It is because of …” » With increase of certainty - > new knowledge appears

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How Data Analytics work?

» Data analytics is the science of examining raw data with the purpose of drawing conclusions about that information [1]

› To then reach to some conclusions that could end in new knowledge and consequent appropriate and effective decision making

[1] Margaret Rouse (2016). Data Analytics Definition. In: A guide to HR analytics. Retrieved from the web at January 2016: http://searchdatamanagement.tec htarget.com/definition/data- analytics

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H2020 ICT-15 15-2014: : 644715

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AQUASMART Innovation Action

» AQUASMART intends to solve a main problem that aquaculture companies are facing:

› Companies cannot interpret the data they capture and also use the others data.

» If they were able to do so,

› they would be able to dramatically improve the production in terms

f feed conversion rate (FCR), cost,

mortality, diseases, environment impact, etc. .

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Big Data and Open Data Analytics

» Thus, AquaSmart aims

› To bring Big and Open Data Analytics as a Service to the Aquaculture Industry › To create a cloud based platform with a backend based on machine learning and data mining techniques to provide assistance to aquaculture managers in the decision making process

» Better view of the living inventory (biomass) that exist in a farm. » Be able to make accurate estimations of the growth of the fish.

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AQUASMART Goal

» The prime goal of AQUASMART is to accelerate innovation in Europe’s Aquaculture through:

› technology transfer for the deployment of open data solutions › multilingual data collection and analytics solutions › turning the large volumes of heterogeneous aquaculture data that is distributed across the value chain, into an open cloud › Semantically interoperable data assets and knowledge.

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Aquaculture Open Data Cloud Innovation

App pplyin ing g Mode dels to Rea eal Dat ata

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Example of Real Data

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Normalised DataSets

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DATASET MAPPING & VALIDATION

» Input: Datasets from Excel files » Mapping the datasets with the semantics used in the AquaSmartData Tool

› Sometimes new elements are introduced (private attributes) › Data types are defined to enable further transformations / validation

AquaSmartData Tool DataSets Semantics 1st step mappings 2nd step

utliers identification

private FCR FCR

W C Water Temperature

private

DATA

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DATA REPRESENTATION: Interpolated Economic FCR (scatter plot)

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DATA REPRESENTATION: Interpolated Economic FCR (surface plot)

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DATA INTERPRETED:

Bar plot of Relative FCR Error per test case (cages)

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As-Is Scenario Ardag – pre new model

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To-Be Scenario Ardag – with new model

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AquaSmartData Training Analytics Programme

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The AquaSmart training programme

» AquaSmart provides ‘An

An analyt lytics ics too

ol f

l for

r fis

ish h farms ms’

» To develop new skills, knowledge and competences in order to apply ly the AquaSma aSmart t Analyti lytics cs platf tform

rm suitable

table for fish h farm m produc ucti tion

n to enhance production and efficiency.

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What is the benefit of the AquaSmart training programme?

Societal

Increased production New business opportunities Knowledge transfer for sector Supports standardisation Certification option (ECDL type validation) Industry benefits Workforce standard for sector Colleges / Universities European Commission Objectives Blue Growth Policy Objectives

End-user

Training for the AquaSmartData platform Develop skills and competences to apply data analytics for enhanced production Increased production Increased sales Develop new business opportunities Increased profits Increased proficiency Confidence in application of data analytics Technical Training Knowledge transfer and training for effective use More educated decision making Optimisation for purchasing decision To support standardisation Certification option (ECDL type end-user validation) Inputs to software updates

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Who is the AquaSmart training programme aimed at?

1. Business Owners
2. IT Managers
3. Farm Manager
4. Production Managers
5. Data Analysts

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Training delivery modes

» Tutor-led

› Traditional classroom › Virtual Classrom (Webinars)

» Web based (e-learning + mobile) » Supported by: › Multi ti-language language options ions › Certif tificati ication

n opti

tion

› Enhan ance ced d Knowledge ledge Transf ansfer er opti tions ns › Gamif ific icatio ation n options ions

Training Certification Analytics Gamification

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The training courses

» Course se 1: Concepts of Aquaculture Production » Course se 2: Essentials of Data Analytics » Course se 3: The AquaSmartData Solution » Course se 4: User Operational Features » Course se 5: Decision Making Support » Cour urse se 6: AquaSmartData System Integration » Course se 7: Industry Standards and Guidelines » Course 8: Business Dimension of AquaSmart in Aquaculture

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Moodle Platform

Aqua quaSm Smar art t LMS (Moodl

e soon

nline

ne)

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Conclusions

» AquaSmart Benefits for the Aquaculture Industry

› Control the production process for maximum profitability, › Respond to a wide range of production challenges, in real time, › Identify, in a timely manner, production problems or trends, › Evaluate feed and fry suppliers, feeding practices and fish management strategies and › Continuously improve feeding and growth models.

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Bringing Big and Open Data Analytics as a Service to the Aquaculture Industry The Current nt Mott

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Bringing IoT to the Aquaculture Industry to enhance new knowledge acquisition and misperceptions prevention The Future ure Mott

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AQUASMART Consortium

The End Users: s: The Technical Partners:

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The End