An overview of APSIM, a model designed for farming systems simulation

An overview of APSIM, a model designed for farming systems simulation

2003 | B.A. Keating, P.S. Carberry, G.L. Hammer, M.E. Probert, M.J. Robertson, D. Holzworth, N.I. Huth, J.N.G. Hargreaves, H. Meinke, Z. Hochman, G. McLean, K. Verburg, V. Snow, J.P. Dimes, M. Silburn, E. Wang, S. Brown, K.L. Bristow, S. Asseng, S. Chapman, R.L. McCown, D.M. Freebairn, C.J. Smith
APSIM is a modular simulation framework developed by the Agricultural Production Systems Research Unit (APSRU) in Australia to simulate biophysical processes in farming systems. It allows users to model various aspects of farming systems, including crop, soil, and management modules, and has been applied in a wide range of agricultural contexts. The framework includes modules for simulating crop growth, soil water balance, soil organic matter, nitrogen, phosphorus, soil pH, erosion, and management practices. APSIM has been used for on-farm decision-making, farming system design, climate forecasting, supply chain analysis, waste management, risk assessment, and research and education. The system is highly modular, allowing for easy integration with other models and enabling the simulation of complex farming systems. APSIM has been tested in various environments and has shown good performance in simulating crop yields, soil water, nitrogen, and other variables. The model has been applied in a wide range of agricultural contexts, including crop management, water balance, climate impacts, cropping systems, species interactions, land use studies, soil impacts, and crop adaptation. The model has been tested in various scenarios and has shown good performance in simulating agricultural systems. The model has been used in a wide range of applications, including on-farm decision-making, farming system design, climate forecasting, supply chain analysis, waste management, risk assessment, and research and education. The model has been tested in various scenarios and has shown good performance in simulating agricultural systems. The model has been used in a wide range of applications, including on-farm decision-making, farming system design, climate forecasting, supply chain analysis, waste management, risk assessment, and research and education. The model has been tested in various scenarios and has shown good performance in simulating agricultural systems.APSIM is a modular simulation framework developed by the Agricultural Production Systems Research Unit (APSRU) in Australia to simulate biophysical processes in farming systems. It allows users to model various aspects of farming systems, including crop, soil, and management modules, and has been applied in a wide range of agricultural contexts. The framework includes modules for simulating crop growth, soil water balance, soil organic matter, nitrogen, phosphorus, soil pH, erosion, and management practices. APSIM has been used for on-farm decision-making, farming system design, climate forecasting, supply chain analysis, waste management, risk assessment, and research and education. The system is highly modular, allowing for easy integration with other models and enabling the simulation of complex farming systems. APSIM has been tested in various environments and has shown good performance in simulating crop yields, soil water, nitrogen, and other variables. The model has been applied in a wide range of agricultural contexts, including crop management, water balance, climate impacts, cropping systems, species interactions, land use studies, soil impacts, and crop adaptation. The model has been tested in various scenarios and has shown good performance in simulating agricultural systems. The model has been used in a wide range of applications, including on-farm decision-making, farming system design, climate forecasting, supply chain analysis, waste management, risk assessment, and research and education. The model has been tested in various scenarios and has shown good performance in simulating agricultural systems. The model has been used in a wide range of applications, including on-farm decision-making, farming system design, climate forecasting, supply chain analysis, waste management, risk assessment, and research and education. The model has been tested in various scenarios and has shown good performance in simulating agricultural systems.
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