Dynamic Modeling
Advanced biogeochemical simulation models including DayCent and Landscape-DNDC for accurate COâ‚‚ and Nâ‚‚O emission estimates
Empowering farmers and scientists with dynamic modeling for agricultural greenhouse gas emissions and soil carbon sequestration
Cutting-edge science meets practical application to help reduce agricultural greenhouse gas emissions globally
Advanced biogeochemical simulation models including DayCent and Landscape-DNDC for accurate COâ‚‚ and Nâ‚‚O emission estimates
High-resolution climate, soil, and topographic data integration for location-specific modeling and analysis
Accessible from any device with modular architecture supporting multiple countries and GHG inventory standards
Built on validated field experiments and peer-reviewed research from leading agricultural institutions
Designed for worldwide deployment starting with Denmark and expanding to serve agricultural communities globally
Comprehensive analysis tools to evaluate different management practices and their impact on greenhouse gas emissions
Agriculture accounts for 20-25% of global greenhouse gas emissions, with this percentage expected to grow as other sectors decarbonize. GHGMET provides the tools needed to make informed decisions about sustainable farming practices.
Our platform combines cutting-edge soil science with user-friendly technology, enabling farmers and researchers to:
• Estimate soil carbon sequestration potential
• Model greenhouse gas emissions from different practices
• Access validated scientific models through simple interfaces
• Compare management scenarios for optimal outcomes
Working with leading institutions to advance agricultural climate science
Department of Soil and Crop Sciences
LandCraft Science Team
Agricultural Research Network
International Research Community
