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

By B. Keating, P. Carberry, Graeme L. Hammer, M. Probert, M. Robertson, D. Holzworth, N. Huth, J. Hargreaves, Holger Meinke, Zvi Hochman and 13 more. 2003

2,796 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Forestry, Soil Science

View Paper: https://www.semanticscholar.org/paper/186f87993bd695d658a985d971b737847354396c

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Citations in the corpus

Toward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science (2017, background): “Holzworth et al. (2014) outlines in full these “agricultural systems” features of the APSIM approach (Fig.”
Evaluating agricultural trade-offs in the age of sustainable development (2016, background): “The framework is a set of linked sub-systemmodels or modules that include FIELD module that links the crop and soil models, LIVSIM that simulates animal production of meat, milk, manure etc., and HEAPSIM model that examines nutrient dynamics through manure and organic residue management.”
Re-inventing model-based decision support with Australian dryland farmers. 4. Yield Prophet® helps farmers monitor and manage crops in a variable climate. (2009, positive): “…in the season (Dalgliesh and Foale 1998; Dalgliesh et al. 2009, this issue); (ii) systems simulation using the APSIM model (McCown et al. 1996; Keating et al. 2003) that utilises locally relevant information on soil characteristics and its current status, and on the seasonal climate outlook,…”
Experimental and modelling studies of drought‐adaptive root architectural traits in wheat (Triticum aestivum L.) (2010, neutral): “2003 , <ext-link ext-link-type="uri" xmlns:xlink="http://www.”
Seasonal and Inter-Annual Climate Forecasting: The New Tool for Increasing Preparedness to Climate Variability and Change In Agricultural Planning And Operations (2005, methodology): “, 2003) or APSIM (Keating et al., 2003) is costly and time-consuming.”
nasapower: A NASA POWER Global Meteorology, Surface Solar Energy and Climatology Data Client for R (2018, methodology): “The create_met() function is a wrapper for the get_power() function coupled with the prepareMet() and writeMet() functions from APSIM (Fainges, 2017) to simplify the process of querying the data and creating text files in the .met format for use in Agricultural Production Systems sIMulator (APSIM).”
Maize and soybean root front velocity and maximum depth in Iowa, USA (2018, methodology): “For example, a compacted soil layer will reduce root growth, no matter if temperature or moisture are at optimum levels for root growth (Keating et al., 2003).”
The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and Pilot Studies (2013, neutral): “…effects of climate on crop yield include statistical models (e.g., Schlenker et al., 2006; Lobell and Burke, 2010) and process-based dynamic crop growth models (e.g., Keating et al., 2003; Brisson et al., 2003; Jones et al., 2003; van Ittersum and Donatelli, 2003; Challinor et al., 2004).”