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Introduction & Overview
November 2022
Data Value and Data Protection in Food
Animal Agriculture
14th March 2023
Who Am I
Daniel Foy PA –USA
•Co-Founder & CEO AgriGates
•PLF Commission Officer EAAP
•DCWC Subcommittee Member
•NIAA Member
•BSc(Hons) Applied Pharmacology
•Developing PaaS for the Farm-level
•Interesting in Quality Data for
improved Food Animal Welfare
•Promoters of Farmer Data
Ownership, pre & Post Algorithmic
processing
Value of Data
•In 2020, a person created 1.7 MB of data every second of every day (Becker,
2022).
•In Europe, the value of human digital identities is worth $1 trillion.(Future
Agenda, 2022)
•‘Things’ are already generating data, predicted to create additional value-
add of $1.9 trillion globally over the next five years (Future Agenda, 2022).
•The US dairy market is projected to be worth $1 trillion by 2030
•Organizations with a strong data culture have nearly 2x the success rate
and 3x the return from AI investments.(Accenture)
•Quality of the data first that is from the farm level is imperative
Security of Data
FTC [Commercial Surveillance and Data Security
Rulemaking Forum] & DOD [Securing defense-critical
supply chains] No mention of food animal agriculture
and Food supply chains
DOD sees small businesses as the backbone of
US innovation, who are key members of DoD supply
chains
Biden-Harris Administration Announces National
Cybersecurity Strategy -Defensible, Resilient, Values
Aligned
Awareness within trade frameworks, E.g., The Trans-
Atlantic Data Privacy Framework negotiations
Develop a Food animal Agriculture Cyber Posture
Food Security is also now Data Security.
•Valuable resources (data) become highly sought after
Internet shutdowns cost $24 billion in 2022 (BBC Digital Planet
2023)
99.98% of Americans would be correctly re-identified in
any dataset using 15 demographic attributes (Rocher 2019)
We are under the same threats as all other sectors (DHS
2018)
Types of Cyber Threats:
•Hacktivism
•Foreign adversary
•Terror attack
•Ransomware
Where Does Farm Data Go?
With Multinational Without Multinational
Global Dairy AgriTech Companies
Data Flow
Today
Future
The AgriTech
Hype Cycle
Welfare &
Sustainability
Continuous
Improvement
“Black Box” Algorithms
Data Silos
Data validation & Accuracy
Digital literacy
Data standard
Data Ownership
Data Security
What we can be doing
Off Farm
•Food animal agriculture Data standards
•Break down data silos
•Understanding & Reducing of "Black Box" Algorithms
•Open-sourcing practices and communities
•Cyber response and resilience
•Data quality measurements tools and validation
•Service industry, supply chain, and farm-level digital
literacy strategies and programs
On Farm
•Data champion on farm
•Digital skills training from the farm level up
•80/20 cyber at the farm level
•Data quality management and measurement
•Farm Data Ecosystem data independent of third
parties
•Data ownership (agreements and strategies)
Opportunities Takeaways
•Farm-level data has value
•Farmers owns their data
•Quality data is critical to data value
•Farm level data infrastructure is needed
•Food security is data security
•All levels of food animal agriculture need
digital skills training
•Jobs
•Economic multiplier effect of farm-level next-
generation AgriTech
•New value stream for farms for their valuable data
harvest
•Rural Communities
•Welfare and sustainable food animal system and
supply.
•Informed Consumers