Objective

As agricultural systems become increasingly data-driven, interconnected, and AI-enabled, the governance of agricultural data evolves from a technical issue into a strategic national governance challenge.

Future agricultural ecosystems will rely on continuous flows of:

• farmer data

• production records

• climate intelligence

• logistics visibility

• financial transactions

• food traceability information

• AI-generated analytics

across multiple institutions, digital platforms, and intelligent infrastructures.

Without trusted governance mechanisms, secure interoperability frameworks, and consent-based data exchange models, agricultural digital transformation may create:

• systemic privacy risks

• institutional distrust

• data monopolization

• cyber vulnerabilities

• governance fragmentation

The objective of the Data Governance & Secure Data Sharing Mechanism is to establish a sovereign, trusted, and consent-based agricultural data governance architecture capable of enabling secure data exchange while preserving privacy, transparency, interoperability, and national strategic control.

The framework is designed to support:

• trusted agricultural data ecosystems

• consent-based data exchange

• secure cross-platform interoperability

• sovereign agricultural data governance

• AI-ready secure datasets

• privacy-preserving analytics

• resilient digital trust infrastructure

• adaptive governance capability

Action

Develop a national consent-based agricultural data governance framework integrating:

• farmer consent management systems

• secure agricultural data exchange protocols

• encrypted interoperability architecture

• identity & access management systems

• data classification frameworks

• AI governance mechanisms

• cybersecurity monitoring systems

• trusted audit & verification layers

into a unified sovereign agricultural data governance ecosystem.

The framework will establish:

• consent-based data sharing standards

• role-based data access control

• secure API governance

• agricultural data ownership principles

• privacy-preserving AI mechanisms

• trusted institutional coordination protocols

• cross-border agricultural data governance rules

• national agricultural cybersecurity standards

to ensure trusted and resilient agricultural digital transformation.

Expected Output

Thailand achieves a secure and trusted agricultural data governance ecosystem capable of enabling:

• safe agricultural data exchange

• farmer-centric consent governance

• secure AI-enabled agricultural analytics

• resilient agricultural interoperability

• trusted institutional collaboration

• sovereign digital agricultural governance

• privacy-preserving food intelligence systems

• adaptive agricultural data coordination

The framework ultimately becomes a foundational trust architecture supporting Thailand’s future intelligent agricultural civilization and sovereign digital food economy.

Objective

เมื่อระบบเกษตรกำลังเปลี่ยนผ่านสู่ AI-driven ecosystems และ interconnected digital infrastructures
“ข้อมูลเกษตร” จะไม่ได้เป็นเพียง administrative records อีกต่อไป

แต่จะกลายเป็น strategic national asset ที่เกี่ยวข้องกับ:

• เกษตรกร

• food systems

• climate intelligence

• logistics

• finance

• export systems

• AI governance

• sovereign food security

ในอนาคต ระบบเกษตรจะพึ่งพาการไหลเวียนของข้อมูลระหว่าง:

• ภาครัฐ

• เอกชน

• smart farming platforms

• financial systems

• logistics operators

• AI systems

• regional food ecosystems

อย่างต่อเนื่อง

หากไม่มี trusted governance framework และ secure consent-based data exchange systems
การเปลี่ยนผ่านสู่ digital agriculture อาจสร้าง:

• privacy risks

• institutional distrust

• data monopolization

• cyber vulnerabilities

• fragmented governance systems

วัตถุประสงค์ของ Data Governance & Secure Data Sharing Mechanism คือการสร้าง sovereign consent-based agricultural data governance architecture ที่สามารถรองรับการแบ่งปันข้อมูลอย่างปลอดภัย โปร่งใส และอยู่บนพื้นฐานของความยินยอม

เพื่อรองรับ:

• trusted agricultural data ecosystems

• secure interoperability

• sovereign agricultural governance

• AI-ready secure datasets

• privacy-preserving analytics

• resilient digital trust infrastructure

Action

พัฒนา Data Governance & Secure Data Sharing Mechanism ระดับประเทศ โดยเชื่อม:

• farmer consent management systems

• secure agricultural data exchange protocols

• encrypted interoperability architecture

• identity & access management systems

• data classification frameworks

• AI governance mechanisms

• cybersecurity monitoring systems

• trusted audit & verification layers

เข้าสู่ unified sovereign agricultural data governance ecosystem

กรอบดังกล่าวจะกำหนด:

• consent-based data sharing standards

• role-based data access control

• secure API governance

• agricultural data ownership principles

• privacy-preserving AI mechanisms

• institutional coordination protocols

• cross-border agricultural data governance rules

• national agricultural cybersecurity standards

เพื่อสร้าง trusted digital agriculture ecosystem ของประเทศ

Expected Output

ประเทศไทยมี secure และ trusted agricultural data governance ecosystem ที่สามารถรองรับ:

• safe agricultural data exchange

• farmer-centric consent governance

• secure AI-enabled agricultural analytics

• resilient agricultural interoperability

• trusted institutional collaboration

• sovereign digital agricultural governance

• privacy-preserving food intelligence systems

• adaptive agricultural data coordination

ในระยะยาว Framework นี้จะกลายเป็น foundational trust architecture ของ future intelligent agricultural civilization และ sovereign digital food economy ของประเทศไทย