نتایج جستجو برای: APSIM

تعداد نتایج: 172  

Journal: :Environmental Modelling and Software 2014
Dean P. Holzworth Neil I. Huth Peter G. de Voil Eric J. Zurcher Neville I. Herrmann Greg McLean Karine Chenu Erik J. van Oosterom Valerie O. Snow Chris Murphy Andrew D. Moore Hamish E. Brown Jeremy P. M. Whish Shaun Verrall Justin Fainges Lindsay W. Bell Allan S. Peake Perry L. Poulton Zvi Hochman Peter J. Thorburn Donald S. Gaydon Neal P. Dalgliesh Daniel Rodríguez Howard Cox Scott C. Chapman Alastair Doherty Edmar I. Teixeira Joanna Sharp Rogerio Cichota Iris Vogeler Frank Y. Li Enli Wang Graeme L. Hammer Michael J. Robertson John P. Dimes Anthony M. Whitbread James Hunt Harm van Rees Tim McClelland Peter S. Carberry John N. G. Hargreaves Neil MacLeoda Cam McDonald Justin Harsdorf Sara Wedgwood Brian A. Keating

Agricultural systems models worldwide are increasingly being used to explore options and solutions for the food security, climate change adaptation and mitigation and carbon trading problem domains. APSIM (Agricultural Production Systems sIMulator) is one such model that continues to be applied and adapted to this challenging research agenda. From its inception twenty years ago, APSIM has evolv...

Journal: :Environmental Modelling and Software 2014
Neil I. Huth Murom Banabas Paul N. Nelson Michael Webb

Oil palm has become one of the most important crops in the world with questions being raised about its economic and environmental sustainability. Agricultural systems models are regularly employed in studying sustainable crop management but no detailed model is currently available for oil palm systems. We developed a production systems model for oil palm within the Agricultural Production Syste...

Journal: :Environmental Modelling and Software 2015
Jeremy P. M. Whish Neville I. Herrmann Neil A. White Andrew D. Moore Darren J. Kriticos

Farming systems frameworks such as the Agricultural Production Systems simulator (APSIM) represent fluxes through the soil, plant and atmosphere of the systemwell, but do not generally consider the biotic constraints that function within the system. We designed a method that allowed population models built in DYMEX to interact with APSIM. The simulator engine component of the DYMEX population-m...

2015
Dean Holzworth N. I. Huth N. I. Herrmann

For twenty four years, the Agricultural Production Systems sIMulator (APSIM) has grown from a farming systems framework used by a small number of people, into a large collection of models used by many thousands of modellers internationally. The software consists of many hundreds of thousands of lines of code in 6 different programming languages. The models are connected to each other using a ‘c...

2011
Iris Vogeler Donna Giltrap Frank Li Val Snow

Intensification of agricultural systems has resulted in remarkable increases in productivity. However in grazed systems only about 10-20% of the N ingested by grazing animals is retained in animal products. The reminder is returned in excreta to the paddock in a spatially non-uniform fashion as dung and urine and then either accumulates in the soil or is lost via leaching or gaseous emissions. ...

2002
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 R. L. McCown D. M. Freebairn

The Agricultural Production Systems Simulator (APSIM) is a modular modelling framework that has been developed by the Agricultural Production Systems Research Unit in Australia. APSIM was developed to simulate biophysical process in farming systems, in particular where there is interest in the economic and ecological outcomes of management practice in the face of climatic risk. The paper outlin...

2006
Dean Holzworth Holger Meinke Peter DeVoil Malcolm Wegener Neil Huth Graeme Hammer Mark Howden Michael Robertson Peter Carberry David Freebairn Chris Murphy

The Agricultural Production Systems Simulator (APSIM) is a mature and stable modelling framework used widely in Australia and elsewhere in the domain of farming systems research and extension. It is capable of simulating a diverse range of farming systems including broadacre dryland and irrigated cropping, small holder farming and on-farm agroforestry systems. This includes the interaction of t...

2012

Goals of the Crop Modelers during this Workshop: 1) to calibrate and intercompare multiple crop models (APSIM, DSSAT, INFOCROP, and STICS) against rice and wheat data at sites in South Asia, 2) to simulate growth and yield sensitivity of those four crop models for rice and wheat to temperature and carbon dioxide levels, and 3) to demonstrate the process of predicting district-level yield of pea...

2005
R. Murray-Prior J. Whish P. Carberry N. Dalgleish David Trechter

Biophysical simulation models (e.g. APSIM) using historical rainfall data are increasingly being used to provide yield and other data on crop rotations in various regions of Australia. However, to analyse the economics of these rotations it is desirable to incorporate the other main driver of profitability, price variation. Because the context was that APSIM was being used to simulate an existi...

2017
Sandra K. Truong Ryan F. McCormick John E. Mullet

Bioenergy sorghum is targeted for production in water-limited annual cropland therefore traits that improve plant water capture, water use efficiency, and resilience to water deficit are necessary to maximize productivity. A crop modeling framework, APSIM, was adapted to predict the growth and biomass yield of energy sorghum and to identify potentially useful traits for crop improvement. APSIM ...

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