Critical Challenges
Fix the Fragmented Data Holding Thailand’s Agriculture Back
Thailand’s agricultural sector is quietly losing millions in productivity, credibility, and global competitiveness not because of bad farming, but because of bad data.
Despite increased use of modern tools like IoT sensors, weather stations, and digital farming apps
These aren’t just technical glitches, they are deep-rooted system failures affecting every corner of Thailand’s agricultural value chain:
Farmers miss timely recommendations on planting, pest control, or input use.
Cooperatives struggle with delays in yield tracking, logistics, and reporting.
Government agencies face data blind spots that delay policymaking and risk non-compliance with export standards.
Project Highlights
The Data Platform Hub connects all agricultural data from soil sensors to shipment records into one secure, real-time, and governed system. Whether a farmer checking field conditions, a coop manager tracking yields, or a policymaker planning food security initiatives, trusted insights are available when needed.
Project Highlights
Make Better Decisions, Protect Yields
Access real-time insights from weather data, soil sensors, and disease alerts all in one place to guide planting, irrigation, and harvesting.
No more logbooks or spreadsheets. Farm data is automatically organized, stored securely, and ready when needed.
Control who sees farm information. With policy-based access rules, only the right people can view or edit records.
Advanced Technology
Everything needed weather, prices, farm records in one easy-to-use system. A cooperative manager efficiently integrates real-time weather and farm input data to optimize planting schedules and resource allocation.
Supports all types of data and analysis, from daily reports to advanced research. This includes comprehensive term yield analysis and facilitates instant data queries for high-level governmental dashboards.
Works with any device or data source old or new so nothing gets left out. Seamless integration with diverse data sources, including newly deployed IoT pest detection sensors, enables immediate data availability for analytical processing.
Run reports, analyze trends, or use AI all in one place, with no extra systems to manage.
Decisions on who sees what. Access updates automatically as roles change. Role based access controls automatically update data permissions upon staff transitions, ensuring data integrity and reducing administrative overhead.
Whether it's a simple report or an AI prediction, everything is managed with the same high standards. Uniform governance policies are applied across all data outputs, from standard yield reports to advanced AI-driven disease predictions, ensuring consistent data quality and compliance.
Visibility into where data comes from, who uses it, and why making audits and compliance easy. Data scientists can meticulously trace the lineage of datasets utilized for AI model training, ensuring complete transparency and compliance with regulatory reporting requirements.
Adding new sensors or farms without hassle. The platform scales as operations grow.
Get the insights needed, quickly and cost-effectively even as data grows.
Each user sees what matters most farmers get tips, officials see national stats.