The document discusses the roles and projects led by Kevin Doolin, Director of Innovation at TSSG, focusing on digitisation and precision agriculture within the EU framework. Key initiatives include early lameness detection in cattle using machine learning, promoting data sharing, and modernizing the Common Agricultural Policy. It highlights challenges in precision agriculture, such as the need for high-performance computing and the limitations of current technologies and expertise.

1. KEVIN DOOLIN
DIRECTOR OF INNOVATION, TSSG
H2020 AgriTech
20-05-2019

2. 2 T S S G A G R I T E C H R E S E A R C H T I M E L I N E

3. 3 A D D R E S S I N G E U R O P E A N P R I O R I T I E S
Digitisation of Agriculture to support the
Digital Single Market
Precision Agriculture
Climate Change / Ecosystem Degradation
Produce More with Less
Policy Support
Open Innovation Dialogues and Data Sharing
Digital AKIS (Agri Knowledge Information Systems)
Future CAP
New Technology Developments

4. BuildinganInteroperable, Data-Driven, Innovative &
Sustainable EuropeanAgri-Food Sector
(Subject to Grant agreement
preparation)

5. 5 D E M E T E R I N A N U T S H E L L

6. 6 D E M E T E R P I L O T S / S E C T O R S

7. MEL
D
Early Lameness Detection
through Machine Learning
Undertaking trials in:
• Portugal
• Israel
• South Africa
Dairy & Beef herds
2,000 cattle
Benefits
• Reduction in treatment
costs
• Reduction in the usage of
antibiotics
• Increase in yield
Early results
• Lameness detection 3
days in advance of visual
observation
Lameness…
Third biggest problem in
herd management
Costs an average of €275 in
treatment cost per instance
of lameness
Costs Irish dairy farmers
approximately €80m per
year
MELD is a Use Case within the IoF2020 Internet of Food & Farm Project
7 C A S C A D E F U N D I N G - M E L D

8. 8 M O D E R N I S A T I O N O F T H E C A P - N I V A
TSSG key roles
1. Oversight of Data Management throughout the project and Payment
Agencies of the project Members,
2. Development of software to facilitate farmers to adhere to, and report
on, Land Parcel management

9. 9 D I H - A G R O B O F O O D

10. 1 0
C Y B E L E – U N L O C K I N G T H E P O T E N T I A L O F
H P C F O R P R E C I S I O N A G R I C U L T U R E
Precision agriculture
is happening
Requires substantial
computing power to
fully realise its vision
HPC broadly inaccessible
Expensive
Limited Expertise
Big Data / Data Mining
AI / ML Models and Training
IoT Sensor Data Access and
Processing
HPC Capable Algorithms and
Processes

11. 1 1
C Y B E L E – U N L O C K I N G T H E P O T E N T I A L O F
H P C F O R P R E C I S I O N A G R I C U L T U R E

12. Get Involved:
PACE
Cascade Funds
New Proposals
(DT-ICT-09: Digital Service
Platforms for Rural Economies)

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K D O O L I N @ T S S G . O R G
k e v i n d o o l i n
T S S G _ W I T
@ T S S G _ W I T
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Kevin Doolin
DIR E CTOR OF IN N OV ATION , TSSG