See more from this Session: Agroclimatology & Agronomic Modeling: I/Div. A03 Business Meeting
This paper discusses the development of Simplr and its several use cases. For each 5 arc-minute (about 10 km) grid cell in SSA, a stack of model input datasets has been compiled from analyses of existing global and regional databases as well as consultations with experts at CGIAR centers. Computational burden has been dramatically reduced by utilizing a high-performance computing cluster. Presented use cases include the regional assessment of 1) simulated maize yield responses to nutrient and water managements, 2) profitability of inorganic fertilizer application on maize, 3) risk of adopting new maize varieties, 4) economics of integrated soil fertility management on cereal crops, and 5) climate change impacts. Ongoing challenges, advances, and partnerships with respect to the development and management of the platform, datasets, and tools, as well as the proposed strategy of model performance evaluation will be discussed.