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This paper uses a model to estimate crop yields and GHG emissions. It develops a biophysical modelling framework encompassing a farm typology, a crop model, and a farm-focused GHG calculator to assess productivity (crop yield) and GHG emissions of crop management practices concurrently to study cropping systems based on CA on different farm types. All farm types had net sources on GHG across all farm types. But using CA-based practices independently and in combination into farm-type maize-based cropping systems showed significant potential in improving crop yields and lowering GHG emissions across all farm types and were found to be more efficient with higher yields and ecosystem services that help with climate change mitigation.