AI4Food Toolkits
Practical tools to help farmers and agricultural technology providers (ATPs) use data and AI responsibly.
Digital technologies, connected equipment, and artificial intelligence (AI) are increasingly used on farms. While these tools can improve productivity and decision-making, they also raise important questions about data ownership, privacy, security, transparency, and trust.
The Data4Smart Farming & AI4Smart Farming Toolkits provide practical guidance to help farmers and ATPs use data and AI responsibly. The toolkits focus on education, empowerment, and real-world decision support—so technology works for people, not against them.
What these toolkits do?
Help farmers protect their data and make informed technology choices
Support ATPs in building trustworthy, secure, and responsible products
Translate complex data and AI governance concepts into simple, practical tools
Reduce legal, ethical, and operational risks in digital agriculture
For Farmers
Take control of your farm data and AI-powered tools
As farms become more digital, your data becomes more valuable. These toolkits help you understand what data you generate, how it is used, and what questions to ask before adopting new technologies.
Data4Smart Farming – Farmer Edition
Tools to understand, manage, and protect your farm data
This toolkit is organized into three practical packages so you can focus on what matters most for your farm.
Privacy Toolkit
Helps you understand and control how your farm data is collected, shared, and used. It includes:
Privacy Guidelines – Simple explanations of how farm and personal data should be handled
Privacy Checklist – Key questions to ask before sharing data with a technology provider
Privacy Labels – Easy-to-read summaries of how ATPs handle data privacy
Security Toolkit
Helps protect your farm’s digital systems, equipment, and connected devices. It includes:
Security Guidelines – Practical steps to protect farm systems and data
Security Checklist – A quick review to check whether your systems are properly protected
Security Labels – Clear summaries showing how secure different technology products are
Confidentiality (Data Agreements) Toolkit
Helps you understand and review contracts with agricultural technology providers. It includes:
Data Agreement Guidelines – Guidance on what to look for in data and technology contracts
Data Agreement Checklist – Key contract points to review before signing
Ethics Toolkit
Helps you evaluate whether AI and digital tools are fair, responsible, and aligned with best ethical practices. It includes:
- Ethics Checklist – A simple set of questions to assess impacts on farm workers, animal welfare, decision-making, and fairness
Request Toolkit Access
AI4Smart Farming – Farmer Edition
Tools to understand and evaluate AI on your farm
This toolkit helps you make informed decisions about AI-powered tools by explaining how AI works and what responsible AI looks like in agriculture. It includes:
AI Governance Guidelines – Plain-language explanations of AI and its use in farming
AI Governance Checklist – Questions to ask before adopting an AI system
Transparency Cards – Simple cards explaining AI concepts like fairness and bias using farm examples
Decision Flow Chart – Step-by-step guidance to help decide whether to use an AI tool
For Agricultural Technology Providers (ATPs)
Build trust through responsible data and AI practices
Farmers expect transparency, strong data protection, and responsible use of AI. These toolkits support ATPs in embedding good governance practices across the data and AI lifecycle, from design to deployment.
Data4Smart Farming – ATP Edition
Tools for responsible farm data governance
This toolkit is organised into three packages to support internal implementation and farmer-facing communication.
Privacy Toolkit
Supports responsible and ethical handling of farmer data. It includes:
Privacy Guidelines – Principles for responsible farm data use
Privacy Checklist for ATPs – Step-by-step review of privacy practices
Privacy Label Template – A standardized, farmer-facing summary of privacy practices
- Farm Data Protection Impact Assessment (F-DPIA) – A structured framework to identify privacy, ethical, and operational risks related to farm data use.
- Data Categorization and Inventory Template – A structured template to identify, map, and classify farm data (e.g., personal, sensitive, operational, animal data) for a particular system or technology
Security Toolkit
Supports protection of systems, devices, and farm data. It includes:
Security Checklist for ATPs – Structured review of security controls
Security Label Template – Visual summary of product or platform security features
Confidentiality (Data Agreements) Toolkit
Supports clear, fair, and farmer-friendly data agreements. It includes:
Data Agreement Guidelines – Key elements for transparent contracts
Data Agreement Checklist – Complete list of essential contract components
Ethics Toolkit
Supports responsible and trustworthy development of AI and digital technologies in agriculture. It includes:
- Ethics Checklist – Complete list of essential ethical practices such as impacts on farmers and farm workers, animal welfare considerations, and responsible decision-making
AI4Smart Farming – ATP Edition
Tools for responsible AI development and deployment in agriculture
These tools help ATPs assess AI risks, improve transparency, and align with responsible AI principles. It includes:
AI Governance Guidelines – Principles for responsible AI in agriculture
AI Governance Checklist – Actions to evaluate AI systems across the lifecycle
Dataset Datasheet Template – Documentation for datasets used in AI systems
AI Impact Assessment – Tool to assess risks, impacts, and mitigation measures
Transparency Card Template – Structured documentation of AI system details
Why These Toolkits Matter
Responsible data and AI governance helps ensure that innovation in agriculture: