Supported By
Integrating science, technology, innovation, and indigenous knowledge to enhance food security and disaster preparedness across ASEAN countries
Explore Project
The CRADR project addresses the growing impact of climate variability on agriculture and rural livelihoods by integrating science, technology, innovation (STI), and indigenous knowledge to enhance food security and disaster preparedness.
Through real-time data, precision agriculture, and community capacity-building, we develop case studies and training programs for ASEAN countries, supporting resilience-building through knowledge exchange, AI-based modeling, and collaborative digital tools.
Provincial and community-level pilot collecting data, analyzing agricultural productivity, and assessing climate vulnerability using local and scientific approaches.
Three regional training programs and workshops engaging participants in climate modeling, precision agriculture, and early warning systems.
Using CMIP6 GCMs to simulate temperature, rainfall, crop yields, and disaster impact, producing vulnerability maps for strategic adaptation planning.
Integration with Himawari-Amaterass system for near-real-time satellite information sharing via cloud services for disaster risk analysis.
Multi-level outreach through APAN meetings, open workshops, and ASEAN AHC platforms, including open-access repository publications.
TEIN-facilitated data exchange promoting inter-agency and cross-border research cooperation in agricultural and disaster dynamics.
Our flagship case study in Phrae Province, Thailand, demonstrates the integration of traditional farming knowledge with modern climate science and technology. This pilot serves as a model for replication across ASEAN countries.
The study combines community-level data collection with advanced climate modeling to create practical solutions for farmers facing increasing climate variability and extreme weather events.
Comprehensive assessment of crop yields and farming practices under current and projected climate conditions.
Detailed vulnerability assessments using both scientific data and local farmer knowledge and observations.
Combination of satellite data, weather stations, and community reporting for comprehensive monitoring systems.
Development of localized adaptation strategies that can be transferred to similar agricultural communities.
Lead institution providing water resource and climate expertise
Advanced computing and data processing capabilities
Agricultural research and innovation expertise
Academic research and climate modeling
Technology innovation and agricultural engineering
Electronics and computer technology development
Research and education network infrastructure
Information and communications technology research
Regional data coordination and sharing platform
190 participants from 12 countries trained in climate-resilient agriculture and STI tools, with 51% women participation through virtual workshops and technical courses.
Localized climate models using CMIP6 data providing region-specific yield forecasts and disaster vulnerability assessments for rice and maize under future climate scenarios.
Short-term disaster response framework using real-time Himawari-Amaterass system information to support community preparedness for floods and droughts.
Farmers and local stakeholders empowered to make informed decisions using simplified digital tools integrated with traditional knowledge systems.
TEIN-facilitated data exchange promoting inter-agency and cross-border research cooperation, improving shared understanding of agricultural dynamics.
Successful Phrae Province model ready for replication in other Thai provinces and ASEAN regions with similar climate risk profiles and agricultural practices.
Building on our successful pilot, CRADR is expanding to create a comprehensive regional network for climate-resilient agriculture across ASEAN and beyond.
Replicate success in Phrae to other Thai provinces and ASEAN regions with similar climate risk profiles and agricultural practices.
Develop automated platforms integrating IoT-based smart irrigation, crop monitoring, and AI-powered data analysis.
Strengthen regional infrastructure supporting AHC and national RENs with improved cloud platforms for real-time analytics.
Mainstream results into national policy and education curricula to scale impact and ensure sustainability beyond project funding.