When Software Engineers Met Research Scientists: A Case Study
Empirical Software Engineering
A balanced thinking-feelings model of information systems continuance
International Journal of Human-Computer Studies
Computers and Electronics in Agriculture
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Decision support software tools and computer simulation models help us to better understand the structure and functioning of agricultural ecosystems - how to better manage them in a sustainable way. They assist in the synthesis of interdisciplinary knowledge amongst stake-holders, automation of meta-analyses, communication and outreach. In this paper, we showcase the GHGFarm software tool for estimating and reducing net-greenhouse gas emission from farms. This software tool provides a capability for scientists, policy makers, and agricultural producers to collectively quantify, interpret and compare alternative farm management scenarios, thereby encouraging the adoption of longer-term sustainable farm practices. Farmers can characterize their multi-enterprise operations and management practices in a flexible way. Reduction scenarios are generated from current scientific knowledge and emission algorithms available (International Panel on Climate Change, IPCC), modified with Canadian-specific emission factors, local practices, topography, and climate conditions. We discuss the software development approach, highlighting past and present challenges within the broader context of empirical software engineering and agricultural extension. We identify the need for a better resolved multi-user stream/flow design, enhancement of the graphical user interface, expanded sensitivity testing and quantification of uncertainty.