PerformFISH: Consumer Driven Production - Integrating Innovative Approaches for Competitive and Sustainable Performance

Blue BRIDGE
Blue BRIDGEInnovative data services for Blue Growth & beyond
Consumer Driven Production: Integrating Innovative Approaches for Competitive
and Sustainable Performance across the Mediterranean Aquaculture Value Chain
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 727610.
The Key Performances Indicator System for Mediterranean
Aquaculture Industry in PerformFISH
Giovanna Marino
ISPRA - SNPA
National System for Environmental
Protection
http://performfish.eu/
Pillar: Societal Challenges
Societal Challenge 2
Workprogramme
Sustainable Food Security
PerformFISH contributes
to the vision of H2020
2016 SFS-23
2016- SFS-23
Increase the Mediterranean aquaculture competiveness by improving its
technical performance together with a shift from production-oriented
growth to market-oriented and consumer responsive approach
Objec2vePerformFISH Objective
to match 2016 SFS-23
To increase the competitiveness of the
Mediterranean aquaculture sector
by tackling biological, technical and operational
weaknesses that underlie the stagnation of marine fish
production in the last decade, while addressing social and
environmental responsibility and
contributing to “Blue Growth”
Impacts are expected to contribute to SDGs
PerformFISH embraces the 3 Os’ principle
Open Science
 Open-access publications (Green or Gold)
 Samples available outside the project
Open Innovation
 User-centric approach
 Participation of Associations vs individual companies
 KPI benchmarking system
 Adoption of standards and the ethical framework to be
developed by Associations representing MMFF
Open to the World
 Spread of the revisited, modern Code-of-conduct to the non-
EU Mediterranean actors
PerformFISH structure
Builds a robust benchmarking system based on Key Performance
Indicators that integrate all production chains and make a
validated system adopted by the industry to support the sector
to achieve cost-efficiency, welfare friendly husbandry practices
and environmental sustainability.
WP7. KPIs, Impact Assessment &
Code of Conduct
to provide to MMFF companies a benchmarking
system to evaluate their performance and optimize
against best practices and the competition
to provide Virtual Research Environment (VREs) for
storage, analyse and processing project data
to assess the impact of TRL advances on
performances and farm efficiencies
to consolidate best practices and harmonized
standards in the Code of Conduct of MMFF sector
KPIs, Impact Assessment &
CoC
Key Performance Indicators - KPIs
 Build on farm data
- collected in routine cycles and experiments
- accessible production data by the Industry (closed batches 2016)
 Linked to critical successful factors
growth, health, feed, welfare…
 SMART criteria - specific, measurable, attainable, relevant, time-
bound - Simple to measure - easy to understand
GROWTH
HEALTH
PRODUCTIVITY
WELFARE
ENVIRONMENT
FEED
T-KPI - biological performances
of batches and technical
efficiency
ENV-KPI - the
impact of
farming
practices on the
preservation of
biodiversity and
habitats, the use
of natural
resources, water,
space and
energy use
W-KPI - fish welfare at
different life stages and
husbandry practices
E-KPI for
productivity
& farm
efficiency
Industry performances benchmarking
Production cycle & Parametrization
Stocking size: 1 dph larvae
Final size: 2400dd
Stocking period: Early (Aug- Oct), Natural
(Dec – Feb), Late (Apr-Jun)
Data input: representative batches from
each stocking period and for the whole
production cycle
Data Reporting: 1200, 1800, 2400 dd
Hatchery
Set of 15 KPIs under validation by MMFF sector
Survival, deformities, weaned fish, discharged fish, growth (SGR),
Artemia and rotifers requirements, productivity (FTE)
Production cycle & Parametrization
Stocking size: 2400 dd fish
Final size: up to 20g
Stocking period: Early (Aug- Oct), Natural
(Dec – Feb), Late (Apr-Jun)
Data input: representative batches from
each stocking period and for the whole
production cycle
Data Reporting: end of cycle
Nursery-preongrowing
Set of 6 KPIs under validation by MMFF sector
Mortalities, deformities, discharged fish, FCR, growth (SGR)
Production cycle & Parametrization
Stocking period:
Q1 / Q2 / Q3 / Q4
Stocking size:
2-5g / 5.1-10g / >10
Final size: 250g / 400g / 800g / Harvested batches
Data input: 0-50g, 51-150g, 151-200g, 201-300g,
301-400g, harvested batches
Data reporting: batch, farm, area
Geographical level: satellite temperature data
Grow –out
Mean seasonal sea temperature recorded
for the last 30 years in Mediterranean
10 aquaculture sites (CMCC-ISPRA)
Production cycle & Parametrization
Set of 30 KPIs under validation by MMFF sector
Losses: Mortalities (total, by disease, after transport),
unaccounted losses, total losses, discarded fish at slaughter,
vaccination efficacy, dependency on treatments
HEALTH
GROWTH SGR, GPD, TGC
FEED EFFICIENCY FCR , FCRBIO
FISH WELFARE Mortalities, treatments, stocking density, oxygen
depletion days
ENVIRONMENT Benthic index, P-N in sediment, escapes, endangered
species lethal incidents, FCR-FCR bio, FFDR- FM &FO
PRODUCTIVITY Biomass/FTE; biomass/volumes sea water
PerformFISH VREs - preparation work ( start at May 2018)
 Identify datasets to be stored
 Specify the VREs for storing
datasets and their corresponding
sharing policies
 Transformation of raw data
recorded during trials into a good
format for analysis in the VREs
 Specify the VRE supporting KPI
database, model analysis and
benchmarking
D4Science data infrastructure
https://www.d4science.org/
The computational resources available to
PerformFish through the DataMiner are
20 Virtual Machines (VM) with 32GB RAM
PerformFISH: Consumer Driven Production - Integrating Innovative Approaches for Competitive and Sustainable Performance
1 of 16

Recommended

Ashley Lyon McDonald - Global Sustainability Impacts - United States by
Ashley Lyon McDonald - Global Sustainability Impacts - United StatesAshley Lyon McDonald - Global Sustainability Impacts - United States
Ashley Lyon McDonald - Global Sustainability Impacts - United StatesJohn Blue
64 views29 slides
From tools to action, the feed industry perspective by
From tools to action, the feed industry perspectiveFrom tools to action, the feed industry perspective
From tools to action, the feed industry perspectiveExternalEvents
168 views23 slides
Ecolab by
EcolabEcolab
Ecolabjimperfekt
24 views10 slides
Resume2016 by
Resume2016Resume2016
Resume2016Dale Terpening
59 views2 slides
Traceability in Food Processing - Is Your Business at Risk? by
Traceability in Food Processing - Is Your Business at Risk?Traceability in Food Processing - Is Your Business at Risk?
Traceability in Food Processing - Is Your Business at Risk?Blytheco
1.1K views21 slides
The Role of Technology in Food Processing Compliance and Traceability by
The Role of Technology in Food Processing Compliance and TraceabilityThe Role of Technology in Food Processing Compliance and Traceability
The Role of Technology in Food Processing Compliance and TraceabilityBlytheco
2K views34 slides

More Related Content

What's hot

Rapid integrated assessment of nutrition and health risks associated with the... by
Rapid integrated assessment of nutrition and health risks associated with the...Rapid integrated assessment of nutrition and health risks associated with the...
Rapid integrated assessment of nutrition and health risks associated with the...ILRI
914 views25 slides
City Region Food Systems : Reflections from Bristol by
City Region Food Systems : Reflections from BristolCity Region Food Systems : Reflections from Bristol
City Region Food Systems : Reflections from BristolExternalEvents
414 views19 slides
"Ireland’s Competitive Edge Through Innovation in the AgriFood Sector" Cathal... by
"Ireland’s Competitive Edge Through Innovation in the AgriFood Sector" Cathal..."Ireland’s Competitive Edge Through Innovation in the AgriFood Sector" Cathal...
"Ireland’s Competitive Edge Through Innovation in the AgriFood Sector" Cathal...Asia Matters
659 views32 slides
"Using Multidisciplinary Research to Grow the AgriFood Sector" Niall Smith by
"Using Multidisciplinary Research to Grow the AgriFood Sector" Niall Smith"Using Multidisciplinary Research to Grow the AgriFood Sector" Niall Smith
"Using Multidisciplinary Research to Grow the AgriFood Sector" Niall SmithAsia Matters
752 views10 slides
Systems Analysis for Sustainable Innovation (SASI): A new flagship in the Li... by
Systems Analysis for Sustainable Innovation (SASI): A new flagship in  the Li...Systems Analysis for Sustainable Innovation (SASI): A new flagship in  the Li...
Systems Analysis for Sustainable Innovation (SASI): A new flagship in the Li...ILRI
528 views6 slides
Sustain module 1 by
Sustain module 1 Sustain module 1
Sustain module 1 IanSayers7
60 views73 slides

What's hot(16)

Rapid integrated assessment of nutrition and health risks associated with the... by ILRI
Rapid integrated assessment of nutrition and health risks associated with the...Rapid integrated assessment of nutrition and health risks associated with the...
Rapid integrated assessment of nutrition and health risks associated with the...
ILRI914 views
City Region Food Systems : Reflections from Bristol by ExternalEvents
City Region Food Systems : Reflections from BristolCity Region Food Systems : Reflections from Bristol
City Region Food Systems : Reflections from Bristol
ExternalEvents414 views
"Ireland’s Competitive Edge Through Innovation in the AgriFood Sector" Cathal... by Asia Matters
"Ireland’s Competitive Edge Through Innovation in the AgriFood Sector" Cathal..."Ireland’s Competitive Edge Through Innovation in the AgriFood Sector" Cathal...
"Ireland’s Competitive Edge Through Innovation in the AgriFood Sector" Cathal...
Asia Matters659 views
"Using Multidisciplinary Research to Grow the AgriFood Sector" Niall Smith by Asia Matters
"Using Multidisciplinary Research to Grow the AgriFood Sector" Niall Smith"Using Multidisciplinary Research to Grow the AgriFood Sector" Niall Smith
"Using Multidisciplinary Research to Grow the AgriFood Sector" Niall Smith
Asia Matters752 views
Systems Analysis for Sustainable Innovation (SASI): A new flagship in the Li... by ILRI
Systems Analysis for Sustainable Innovation (SASI): A new flagship in  the Li...Systems Analysis for Sustainable Innovation (SASI): A new flagship in  the Li...
Systems Analysis for Sustainable Innovation (SASI): A new flagship in the Li...
ILRI528 views
Sustain module 1 by IanSayers7
Sustain module 1 Sustain module 1
Sustain module 1
IanSayers760 views
A sustainable food value chain (SFVC) approach for quinoa development by WASAG
A sustainable food value chain (SFVC) approach for quinoa development A sustainable food value chain (SFVC) approach for quinoa development
A sustainable food value chain (SFVC) approach for quinoa development
WASAG 123 views
Toronto City Region Food Systems: Process and preliminary findings by ExternalEvents
Toronto City Region Food Systems: Process and preliminary findingsToronto City Region Food Systems: Process and preliminary findings
Toronto City Region Food Systems: Process and preliminary findings
ExternalEvents311 views
Sustain module 5 by IanSayers7
Sustain module 5Sustain module 5
Sustain module 5
IanSayers725 views
Safe Food, Fair Food by ILRI
Safe Food, Fair FoodSafe Food, Fair Food
Safe Food, Fair Food
ILRI1K views
AGREXIS - Dietary Services - November 2015 by Sabine Lorenz
AGREXIS - Dietary Services - November 2015AGREXIS - Dietary Services - November 2015
AGREXIS - Dietary Services - November 2015
Sabine Lorenz243 views
Food Traceability in Ontario - May 2010 by Irvin Kovar
Food Traceability in Ontario - May 2010Food Traceability in Ontario - May 2010
Food Traceability in Ontario - May 2010
Irvin Kovar715 views
The Sustainable Food Value Chain Framework by FAO
TheSustainable Food Value Chain FrameworkTheSustainable Food Value Chain Framework
The Sustainable Food Value Chain Framework
FAO1.2K views
OS20 - Impact of on-farm biosecurity level in pig herds on the spread and co... by EuFMD
OS20 -  Impact of on-farm biosecurity level in pig herds on the spread and co...OS20 -  Impact of on-farm biosecurity level in pig herds on the spread and co...
OS20 - Impact of on-farm biosecurity level in pig herds on the spread and co...
EuFMD377 views

Similar to PerformFISH: Consumer Driven Production - Integrating Innovative Approaches for Competitive and Sustainable Performance

4. Aas csisa alignment workshop 6-7 may'13 by mokarram by
4. Aas csisa alignment workshop 6-7 may'13 by mokarram4. Aas csisa alignment workshop 6-7 may'13 by mokarram
4. Aas csisa alignment workshop 6-7 may'13 by mokarramAASBD
500 views41 slides
Perform fish presentation_october17_final by
Perform fish presentation_october17_finalPerform fish presentation_october17_final
Perform fish presentation_october17_finalJavier Ojeda Gonzalez-Posada
205 views14 slides
Session 8.1.4: Adaptation M&E in the Agriculture Sector: lessons learned from... by
Session 8.1.4: Adaptation M&E in the Agriculture Sector: lessons learned from...Session 8.1.4: Adaptation M&E in the Agriculture Sector: lessons learned from...
Session 8.1.4: Adaptation M&E in the Agriculture Sector: lessons learned from...NAP Events
138 views16 slides
The organic farming Eco-system- BSC system! by
The organic farming Eco-system- BSC system!The organic farming Eco-system- BSC system!
The organic farming Eco-system- BSC system!bs srikanth
1K views3 slides
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ... by
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...FAO
486 views36 slides

Similar to PerformFISH: Consumer Driven Production - Integrating Innovative Approaches for Competitive and Sustainable Performance(20)

4. Aas csisa alignment workshop 6-7 may'13 by mokarram by AASBD
4. Aas csisa alignment workshop 6-7 may'13 by mokarram4. Aas csisa alignment workshop 6-7 may'13 by mokarram
4. Aas csisa alignment workshop 6-7 may'13 by mokarram
AASBD500 views
Session 8.1.4: Adaptation M&E in the Agriculture Sector: lessons learned from... by NAP Events
Session 8.1.4: Adaptation M&E in the Agriculture Sector: lessons learned from...Session 8.1.4: Adaptation M&E in the Agriculture Sector: lessons learned from...
Session 8.1.4: Adaptation M&E in the Agriculture Sector: lessons learned from...
NAP Events138 views
The organic farming Eco-system- BSC system! by bs srikanth
The organic farming Eco-system- BSC system!The organic farming Eco-system- BSC system!
The organic farming Eco-system- BSC system!
bs srikanth1K views
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ... by FAO
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...
DRM Webinar III: Benefits of farm-level disaster risk reduction practices in ...
FAO486 views
Using agroecology to measure sustainability in agriculture TAPE – the Tool fo... by Francois Stepman
Using agroecology to measure sustainability in agriculture TAPE – the Tool fo...Using agroecology to measure sustainability in agriculture TAPE – the Tool fo...
Using agroecology to measure sustainability in agriculture TAPE – the Tool fo...
Francois Stepman395 views
The new CGIAR: Food security, global change and international agricultural r... by ILRI
The new CGIAR: Food security, global change and international agricultural r...The new CGIAR: Food security, global change and international agricultural r...
The new CGIAR: Food security, global change and international agricultural r...
ILRI1.2K views
Sustentabilidade na Cadeia de Produção de Leite na Europa - Cesare by equipeagroplus
Sustentabilidade na Cadeia de Produção de Leite na Europa - CesareSustentabilidade na Cadeia de Produção de Leite na Europa - Cesare
Sustentabilidade na Cadeia de Produção de Leite na Europa - Cesare
equipeagroplus792 views
Science and technology can help you to improve performance and profitability by Blue BRIDGE
Science and technology can help you to improve performance and profitabilityScience and technology can help you to improve performance and profitability
Science and technology can help you to improve performance and profitability
Blue BRIDGE617 views
Agroecology in FAO by FAO
Agroecology in FAOAgroecology in FAO
Agroecology in FAO
FAO1.6K views
The MSc CCSAFS in Suez Canal University, Egypt by ESD UNU-IAS
The MSc CCSAFS in Suez Canal University, EgyptThe MSc CCSAFS in Suez Canal University, Egypt
The MSc CCSAFS in Suez Canal University, Egypt
ESD UNU-IAS280 views
20151202_Infoday RS2_Marta Conde 1 by Redit
20151202_Infoday RS2_Marta Conde 120151202_Infoday RS2_Marta Conde 1
20151202_Infoday RS2_Marta Conde 1
Redit605 views

More from Blue BRIDGE

BlueBRIDGE supporting education by
BlueBRIDGE supporting educationBlueBRIDGE supporting education
BlueBRIDGE supporting educationBlue BRIDGE
287 views29 slides
LME: LEARN & IOC Capacity Building Activities by
LME: LEARN & IOC Capacity Building ActivitiesLME: LEARN & IOC Capacity Building Activities
LME: LEARN & IOC Capacity Building ActivitiesBlue BRIDGE
251 views14 slides
Machine Learning methods to estimate the performance of aquafarms by
Machine Learning methods to estimate the performance of aquafarms Machine Learning methods to estimate the performance of aquafarms
Machine Learning methods to estimate the performance of aquafarms Blue BRIDGE
395 views26 slides
Environmental observation data to detect aquaculture structures: merging Cope... by
Environmental observation data to detect aquaculture structures: merging Cope...Environmental observation data to detect aquaculture structures: merging Cope...
Environmental observation data to detect aquaculture structures: merging Cope...Blue BRIDGE
564 views16 slides
Application of Earth Observation (EO) Data for Detection, Characterization an... by
Application of Earth Observation (EO) Data for Detection, Characterization an...Application of Earth Observation (EO) Data for Detection, Characterization an...
Application of Earth Observation (EO) Data for Detection, Characterization an...Blue BRIDGE
349 views16 slides
Capacity building, validation and repeatability by
Capacity building, validation and repeatabilityCapacity building, validation and repeatability
Capacity building, validation and repeatabilityBlue BRIDGE
251 views18 slides

More from Blue BRIDGE(20)

BlueBRIDGE supporting education by Blue BRIDGE
BlueBRIDGE supporting educationBlueBRIDGE supporting education
BlueBRIDGE supporting education
Blue BRIDGE287 views
LME: LEARN & IOC Capacity Building Activities by Blue BRIDGE
LME: LEARN & IOC Capacity Building ActivitiesLME: LEARN & IOC Capacity Building Activities
LME: LEARN & IOC Capacity Building Activities
Blue BRIDGE251 views
Machine Learning methods to estimate the performance of aquafarms by Blue BRIDGE
Machine Learning methods to estimate the performance of aquafarms Machine Learning methods to estimate the performance of aquafarms
Machine Learning methods to estimate the performance of aquafarms
Blue BRIDGE395 views
Environmental observation data to detect aquaculture structures: merging Cope... by Blue BRIDGE
Environmental observation data to detect aquaculture structures: merging Cope...Environmental observation data to detect aquaculture structures: merging Cope...
Environmental observation data to detect aquaculture structures: merging Cope...
Blue BRIDGE564 views
Application of Earth Observation (EO) Data for Detection, Characterization an... by Blue BRIDGE
Application of Earth Observation (EO) Data for Detection, Characterization an...Application of Earth Observation (EO) Data for Detection, Characterization an...
Application of Earth Observation (EO) Data for Detection, Characterization an...
Blue BRIDGE349 views
Capacity building, validation and repeatability by Blue BRIDGE
Capacity building, validation and repeatabilityCapacity building, validation and repeatability
Capacity building, validation and repeatability
Blue BRIDGE251 views
Fostering global data management with public tuna fisheries data by Blue BRIDGE
Fostering global data management with public tuna fisheries dataFostering global data management with public tuna fisheries data
Fostering global data management with public tuna fisheries data
Blue BRIDGE281 views
Understanding biodiversity features in marine protected areas by Blue BRIDGE
Understanding biodiversity features in marine protected areasUnderstanding biodiversity features in marine protected areas
Understanding biodiversity features in marine protected areas
Blue BRIDGE228 views
Panel discussion on Global Repositories of Merged Public Data by Blue BRIDGE
Panel discussion on Global Repositories of Merged Public DataPanel discussion on Global Repositories of Merged Public Data
Panel discussion on Global Repositories of Merged Public Data
Blue BRIDGE192 views
Invasive species and climate change by Blue BRIDGE
Invasive species and climate changeInvasive species and climate change
Invasive species and climate change
Blue BRIDGE479 views
The BIG picture - Advanced data visualization for SDG, basic stock assessment... by Blue BRIDGE
The BIG picture - Advanced data visualization for SDG, basic stock assessment...The BIG picture - Advanced data visualization for SDG, basic stock assessment...
The BIG picture - Advanced data visualization for SDG, basic stock assessment...
Blue BRIDGE174 views
Global Record of Stocks and Fisheries (GRFS) by Blue BRIDGE
Global Record of Stocks and Fisheries (GRFS)Global Record of Stocks and Fisheries (GRFS)
Global Record of Stocks and Fisheries (GRFS)
Blue BRIDGE213 views
Projecting global fish stocks and catches up to 2100 by Blue BRIDGE
Projecting global fish stocks and catches up to 2100Projecting global fish stocks and catches up to 2100
Projecting global fish stocks and catches up to 2100
Blue BRIDGE184 views
BlueBRIDGE: Major Achievements & future vision by Blue BRIDGE
BlueBRIDGE: Major Achievements & future visionBlueBRIDGE: Major Achievements & future vision
BlueBRIDGE: Major Achievements & future vision
Blue BRIDGE216 views
Managing tuna fisheries data at a global scale: the Tuna Atlas VRE by Blue BRIDGE
Managing tuna fisheries data at a global scale: the Tuna Atlas VREManaging tuna fisheries data at a global scale: the Tuna Atlas VRE
Managing tuna fisheries data at a global scale: the Tuna Atlas VRE
Blue BRIDGE807 views
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ... by Blue BRIDGE
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
SeaDataCloud – further developing the pan-European SeaDataNet infrastructure ...
Blue BRIDGE208 views
The BlueBRIDGE Project - Pasquale Pagano by Blue BRIDGE
The BlueBRIDGE Project - Pasquale PaganoThe BlueBRIDGE Project - Pasquale Pagano
The BlueBRIDGE Project - Pasquale Pagano
Blue BRIDGE163 views
Thematic clouds for EOSC : The Food Cloud and the Blue Cloud by Blue BRIDGE
Thematic clouds for EOSC: The Food Cloud and the Blue Cloud�Thematic clouds for EOSC: The Food Cloud and the Blue Cloud�
Thematic clouds for EOSC : The Food Cloud and the Blue Cloud
Blue BRIDGE403 views
Supporting open science oriented skills building by virtual research environm... by Blue BRIDGE
Supporting open science oriented skills building by virtual research environm...Supporting open science oriented skills building by virtual research environm...
Supporting open science oriented skills building by virtual research environm...
Blue BRIDGE285 views

Recently uploaded

Microchip: CXL Use Cases and Enabling Ecosystem by
Microchip: CXL Use Cases and Enabling EcosystemMicrochip: CXL Use Cases and Enabling Ecosystem
Microchip: CXL Use Cases and Enabling EcosystemCXL Forum
129 views12 slides
"Fast Start to Building on AWS", Igor Ivaniuk by
"Fast Start to Building on AWS", Igor Ivaniuk"Fast Start to Building on AWS", Igor Ivaniuk
"Fast Start to Building on AWS", Igor IvaniukFwdays
36 views76 slides
Combining Orchestration and Choreography for a Clean Architecture by
Combining Orchestration and Choreography for a Clean ArchitectureCombining Orchestration and Choreography for a Clean Architecture
Combining Orchestration and Choreography for a Clean ArchitectureThomasHeinrichs1
68 views24 slides
Spesifikasi Lengkap ASUS Vivobook Go 14 by
Spesifikasi Lengkap ASUS Vivobook Go 14Spesifikasi Lengkap ASUS Vivobook Go 14
Spesifikasi Lengkap ASUS Vivobook Go 14Dot Semarang
35 views1 slide
AMD: 4th Generation EPYC CXL Demo by
AMD: 4th Generation EPYC CXL DemoAMD: 4th Generation EPYC CXL Demo
AMD: 4th Generation EPYC CXL DemoCXL Forum
126 views6 slides
MemVerge: Past Present and Future of CXL by
MemVerge: Past Present and Future of CXLMemVerge: Past Present and Future of CXL
MemVerge: Past Present and Future of CXLCXL Forum
110 views26 slides

Recently uploaded(20)

Microchip: CXL Use Cases and Enabling Ecosystem by CXL Forum
Microchip: CXL Use Cases and Enabling EcosystemMicrochip: CXL Use Cases and Enabling Ecosystem
Microchip: CXL Use Cases and Enabling Ecosystem
CXL Forum129 views
"Fast Start to Building on AWS", Igor Ivaniuk by Fwdays
"Fast Start to Building on AWS", Igor Ivaniuk"Fast Start to Building on AWS", Igor Ivaniuk
"Fast Start to Building on AWS", Igor Ivaniuk
Fwdays36 views
Combining Orchestration and Choreography for a Clean Architecture by ThomasHeinrichs1
Combining Orchestration and Choreography for a Clean ArchitectureCombining Orchestration and Choreography for a Clean Architecture
Combining Orchestration and Choreography for a Clean Architecture
ThomasHeinrichs168 views
Spesifikasi Lengkap ASUS Vivobook Go 14 by Dot Semarang
Spesifikasi Lengkap ASUS Vivobook Go 14Spesifikasi Lengkap ASUS Vivobook Go 14
Spesifikasi Lengkap ASUS Vivobook Go 14
Dot Semarang35 views
AMD: 4th Generation EPYC CXL Demo by CXL Forum
AMD: 4th Generation EPYC CXL DemoAMD: 4th Generation EPYC CXL Demo
AMD: 4th Generation EPYC CXL Demo
CXL Forum126 views
MemVerge: Past Present and Future of CXL by CXL Forum
MemVerge: Past Present and Future of CXLMemVerge: Past Present and Future of CXL
MemVerge: Past Present and Future of CXL
CXL Forum110 views
Micron CXL product and architecture update by CXL Forum
Micron CXL product and architecture updateMicron CXL product and architecture update
Micron CXL product and architecture update
CXL Forum27 views
GigaIO: The March of Composability Onward to Memory with CXL by CXL Forum
GigaIO: The March of Composability Onward to Memory with CXLGigaIO: The March of Composability Onward to Memory with CXL
GigaIO: The March of Composability Onward to Memory with CXL
CXL Forum126 views
"Role of a CTO in software outsourcing company", Yuriy Nakonechnyy by Fwdays
"Role of a CTO in software outsourcing company", Yuriy Nakonechnyy"Role of a CTO in software outsourcing company", Yuriy Nakonechnyy
"Role of a CTO in software outsourcing company", Yuriy Nakonechnyy
Fwdays40 views
[2023] Putting the R! in R&D.pdf by Eleanor McHugh
[2023] Putting the R! in R&D.pdf[2023] Putting the R! in R&D.pdf
[2023] Putting the R! in R&D.pdf
Eleanor McHugh38 views
Samsung: CMM-H Tiered Memory Solution with Built-in DRAM by CXL Forum
Samsung: CMM-H Tiered Memory Solution with Built-in DRAMSamsung: CMM-H Tiered Memory Solution with Built-in DRAM
Samsung: CMM-H Tiered Memory Solution with Built-in DRAM
CXL Forum105 views
"Thriving Culture in a Product Company — Practical Story", Volodymyr Tsukur by Fwdays
"Thriving Culture in a Product Company — Practical Story", Volodymyr Tsukur"Thriving Culture in a Product Company — Practical Story", Volodymyr Tsukur
"Thriving Culture in a Product Company — Practical Story", Volodymyr Tsukur
Fwdays40 views
MemVerge: Gismo (Global IO-free Shared Memory Objects) by CXL Forum
MemVerge: Gismo (Global IO-free Shared Memory Objects)MemVerge: Gismo (Global IO-free Shared Memory Objects)
MemVerge: Gismo (Global IO-free Shared Memory Objects)
CXL Forum112 views
.conf Go 2023 - Data analysis as a routine by Splunk
.conf Go 2023 - Data analysis as a routine.conf Go 2023 - Data analysis as a routine
.conf Go 2023 - Data analysis as a routine
Splunk90 views
How to reduce cold starts for Java Serverless applications in AWS at JCON Wor... by Vadym Kazulkin
How to reduce cold starts for Java Serverless applications in AWS at JCON Wor...How to reduce cold starts for Java Serverless applications in AWS at JCON Wor...
How to reduce cold starts for Java Serverless applications in AWS at JCON Wor...
Vadym Kazulkin70 views
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum... by NUS-ISS
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...
Beyond the Hype: What Generative AI Means for the Future of Work - Damien Cum...
NUS-ISS28 views
Understanding GenAI/LLM and What is Google Offering - Felix Goh by NUS-ISS
Understanding GenAI/LLM and What is Google Offering - Felix GohUnderstanding GenAI/LLM and What is Google Offering - Felix Goh
Understanding GenAI/LLM and What is Google Offering - Felix Goh
NUS-ISS39 views
Webinar : Competing for tomorrow’s leaders – How MENA insurers can win the wa... by The Digital Insurer
Webinar : Competing for tomorrow’s leaders – How MENA insurers can win the wa...Webinar : Competing for tomorrow’s leaders – How MENA insurers can win the wa...
Webinar : Competing for tomorrow’s leaders – How MENA insurers can win the wa...
Data-centric AI and the convergence of data and model engineering: opportunit... by Paolo Missier
Data-centric AI and the convergence of data and model engineering:opportunit...Data-centric AI and the convergence of data and model engineering:opportunit...
Data-centric AI and the convergence of data and model engineering: opportunit...
Paolo Missier29 views

PerformFISH: Consumer Driven Production - Integrating Innovative Approaches for Competitive and Sustainable Performance

  • 1. Consumer Driven Production: Integrating Innovative Approaches for Competitive and Sustainable Performance across the Mediterranean Aquaculture Value Chain This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 727610. The Key Performances Indicator System for Mediterranean Aquaculture Industry in PerformFISH Giovanna Marino ISPRA - SNPA National System for Environmental Protection http://performfish.eu/
  • 2. Pillar: Societal Challenges Societal Challenge 2 Workprogramme Sustainable Food Security PerformFISH contributes to the vision of H2020 2016 SFS-23
  • 3. 2016- SFS-23 Increase the Mediterranean aquaculture competiveness by improving its technical performance together with a shift from production-oriented growth to market-oriented and consumer responsive approach Objec2vePerformFISH Objective to match 2016 SFS-23 To increase the competitiveness of the Mediterranean aquaculture sector by tackling biological, technical and operational weaknesses that underlie the stagnation of marine fish production in the last decade, while addressing social and environmental responsibility and contributing to “Blue Growth”
  • 4. Impacts are expected to contribute to SDGs
  • 5. PerformFISH embraces the 3 Os’ principle Open Science  Open-access publications (Green or Gold)  Samples available outside the project Open Innovation  User-centric approach  Participation of Associations vs individual companies  KPI benchmarking system  Adoption of standards and the ethical framework to be developed by Associations representing MMFF Open to the World  Spread of the revisited, modern Code-of-conduct to the non- EU Mediterranean actors
  • 7. Builds a robust benchmarking system based on Key Performance Indicators that integrate all production chains and make a validated system adopted by the industry to support the sector to achieve cost-efficiency, welfare friendly husbandry practices and environmental sustainability. WP7. KPIs, Impact Assessment & Code of Conduct
  • 8. to provide to MMFF companies a benchmarking system to evaluate their performance and optimize against best practices and the competition to provide Virtual Research Environment (VREs) for storage, analyse and processing project data to assess the impact of TRL advances on performances and farm efficiencies to consolidate best practices and harmonized standards in the Code of Conduct of MMFF sector KPIs, Impact Assessment & CoC
  • 9. Key Performance Indicators - KPIs  Build on farm data - collected in routine cycles and experiments - accessible production data by the Industry (closed batches 2016)  Linked to critical successful factors growth, health, feed, welfare…  SMART criteria - specific, measurable, attainable, relevant, time- bound - Simple to measure - easy to understand
  • 10. GROWTH HEALTH PRODUCTIVITY WELFARE ENVIRONMENT FEED T-KPI - biological performances of batches and technical efficiency ENV-KPI - the impact of farming practices on the preservation of biodiversity and habitats, the use of natural resources, water, space and energy use W-KPI - fish welfare at different life stages and husbandry practices E-KPI for productivity & farm efficiency Industry performances benchmarking
  • 11. Production cycle & Parametrization Stocking size: 1 dph larvae Final size: 2400dd Stocking period: Early (Aug- Oct), Natural (Dec – Feb), Late (Apr-Jun) Data input: representative batches from each stocking period and for the whole production cycle Data Reporting: 1200, 1800, 2400 dd Hatchery Set of 15 KPIs under validation by MMFF sector Survival, deformities, weaned fish, discharged fish, growth (SGR), Artemia and rotifers requirements, productivity (FTE)
  • 12. Production cycle & Parametrization Stocking size: 2400 dd fish Final size: up to 20g Stocking period: Early (Aug- Oct), Natural (Dec – Feb), Late (Apr-Jun) Data input: representative batches from each stocking period and for the whole production cycle Data Reporting: end of cycle Nursery-preongrowing Set of 6 KPIs under validation by MMFF sector Mortalities, deformities, discharged fish, FCR, growth (SGR)
  • 13. Production cycle & Parametrization Stocking period: Q1 / Q2 / Q3 / Q4 Stocking size: 2-5g / 5.1-10g / >10 Final size: 250g / 400g / 800g / Harvested batches Data input: 0-50g, 51-150g, 151-200g, 201-300g, 301-400g, harvested batches Data reporting: batch, farm, area Geographical level: satellite temperature data Grow –out Mean seasonal sea temperature recorded for the last 30 years in Mediterranean 10 aquaculture sites (CMCC-ISPRA)
  • 14. Production cycle & Parametrization Set of 30 KPIs under validation by MMFF sector Losses: Mortalities (total, by disease, after transport), unaccounted losses, total losses, discarded fish at slaughter, vaccination efficacy, dependency on treatments HEALTH GROWTH SGR, GPD, TGC FEED EFFICIENCY FCR , FCRBIO FISH WELFARE Mortalities, treatments, stocking density, oxygen depletion days ENVIRONMENT Benthic index, P-N in sediment, escapes, endangered species lethal incidents, FCR-FCR bio, FFDR- FM &FO PRODUCTIVITY Biomass/FTE; biomass/volumes sea water
  • 15. PerformFISH VREs - preparation work ( start at May 2018)  Identify datasets to be stored  Specify the VREs for storing datasets and their corresponding sharing policies  Transformation of raw data recorded during trials into a good format for analysis in the VREs  Specify the VRE supporting KPI database, model analysis and benchmarking D4Science data infrastructure https://www.d4science.org/ The computational resources available to PerformFish through the DataMiner are 20 Virtual Machines (VM) with 32GB RAM