Sixty practitioners, policy makers and scientists reviewed and shared knowledge on the
available robust and low-cost methods and data for GHG emission estimation in agriculture
in a CCAFS/FAO workshop in Rome, October 2014. The participants emphasized that
iterative interaction between data collection, data quality assurance and modelling is needed
as well as protocol development for GHG estimation in agriculture. Emission factor
development is also key, including in regional, national and sub-national levels. Easily
accessible platforms where to store data and models would enhance sharing and better
coordination. The country level coordination is also important in order to harmonize data
collection practices, tools and methods. As countries are at different level in terms of GHG
inventories and access to data, capacity need assessment will help providing right type,
targeted support for capacity development. It is also important to ensure the policy level
awareness raising, engagement and commitment. Linking adaptation and mitigation will
reduce data needs and provide incentives for action. New tools for estimation are being
developed, including remote sensing and crowd-sourcing, modeling and utilizing the national
surveys and agriculture censuses that can help reduce data costs
