300205. Agricultural production systems simulation
| Title | 300205. Agricultural production systems simulation |
|---|---|
| Parent | 3002. Agriculture, land and farm management |
Latest research outputs
Sort by Date Title
Making Australian Drought Monitor dataset findable, accessible, interoperable and reusable
Gacenga, Francis, An-Vo, Duc-Anh, McCulloch, Jillian, Young, Richard and Cobon, David. 2024. "Making Australian Drought Monitor dataset findable, accessible, interoperable and reusable." Computers and Electronics in Agriculture. 226. https://doi.org/10.1016/j.compag.2024.109381Article
Assessing scale-dependency of climate risks in coffee-based agroforestry systems
Byrareddy, Vivekananda M., Kath, Jarrod, Kouadio, Louis, Mushtaq, Shahbaz and Geethalakshmi, Vellingiri. 2024. "Assessing scale-dependency of climate risks in coffee-based agroforestry systems." Scientific Reports. 14 (1). https://doi.org/10.1038/s41598-024-58790-5Article
Integrating rainfall index-based insurance with optimal crop management strategies can reduce financial risks for Australian dryland cotton farmers
Nguyen-Huy, Thong, Kath, Jarrod, Kouadio, Louis, King, Rachel, Mushtaq, Shahbaz and Barratt, Jonathan. 2024. "Integrating rainfall index-based insurance with optimal crop management strategies can reduce financial risks for Australian dryland cotton farmers." Sustainable Futures. 8. https://doi.org/10.1016/j.sftr.2024.100249Article
Water-Energy-Food (WEF) nexus in agricultural systems
Gao, Shan. 2024. Water-Energy-Food (WEF) nexus in agricultural systems. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/z7y07PhD Thesis
Using ARDC Nectar VMs, Jupyter Hub and GitHub to Deploy Agricultural Modelling Applications on the AgReFed Platform
Gacenga, Francis and An-Vo, Duc-Anh. 2023. "Using ARDC Nectar VMs, Jupyter Hub and GitHub to Deploy Agricultural Modelling Applications on the AgReFed Platform." eResearch Australasia 2023 Conference. Brisbane, Australia 16 - 20 Oct 2023 Australia.Presentation
Comparison of machine learning methods emulating process driven crop models
Johnston, David B., Pembleton, Keith G., Huth, Neil I. and Deo, Ravinesh C.. 2023. "Comparison of machine learning methods emulating process driven crop models ." Environmental Modelling and Software. 162. https://doi.org/10.1016/j.envsoft.2023.105634Article
Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network
Beringer, Jason, Moore, Caitlin E., Cleverly, Jamie, Campbell, David I., Cleugh, Helen, De Kauwe, Martin G., Kirschbaum, Miko U. F., Griebel, Anne, Grover, Sam, Huete, Alfredo, Hutley, Lindsay B., Laubach, Johannes, Van Niel, Tom, Arndt, Stefan K., Bennett, Alison C., Cernusak, Lucas A., Eamus, Derek, Ewenz, Cacilia M., Goodrich, Jordan P., ..., Woodgate, William. 2022. "Bridge to the future: Important lessons from 20 years of ecosystem observations made by the OzFlux network." Global Change Biology. 28 (11), pp. 3489-3514. https://doi.org/10.1111/gcb.16141Article
Suitability Evaluation of Three Tropical Pasture Species (Mulato II, Gatton Panic, and Rhodes Grass) for Cultivation under a Subtropical Climate of Australia
Jayasinghe, Priyanath, Donaghy, Daniel J., Barber, David G., Pembleton, Keith G. and Ramilan, Thiagarajah. 2022. "Suitability Evaluation of Three Tropical Pasture Species (Mulato II, Gatton Panic, and Rhodes Grass) for Cultivation under a Subtropical Climate of Australia." Agronomy. 12 (9), pp. 1-18.Article
Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions
Della Nave, Facundo N., Ojeda, Jonathan J., Irisarri, J. Gonzalo N., Pembleton, Keith, Oyarzabal, Mariano and Oesterheld, Martin. 2022. "Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions." Agricultural Systems. 201, pp. 1-14. https://doi.org/10.1016/j.agsy.2022.103459Article
A forage brassica simulation model using APSIM: Model calibration and validation across multiple environments
Watt, Lucinda J., Bell, Lindsay W. and Pembleton, Keith G.. 2022. "A forage brassica simulation model using APSIM: Model calibration and validation across multiple environments." European Journal of Agronomy. 137, pp. 1-14. https://doi.org/10.1016/j.eja.2022.126517Article
Northern Australia Climate Program: supporting adaptation in rangeland grazing systems through more targeted climate forecasts, improved drought information and an innovative extension program
Cobon, David, Jarvis, Chelsea, Reardon-Smith, Kate, Guillory, Laura, Pudmenzky, Christa, Nguyen-Huy, Thong, Mushtaq, Shahbaz and Stone, Roger. 2021. "Northern Australia Climate Program: supporting adaptation in rangeland grazing systems through more targeted climate forecasts, improved drought information and an innovative extension program." The Rangeland Journal. 43 (3), pp. 87-100. https://doi.org/10.1071/RJ20074Article
Queensland’s multi-year Wet and Dry periods: implications for grazing enterprises and pasture resources
McKeon, G., Stone, R., Ahrens, D., Cobon, D., Irvine, S. and Syktus, J.. 2021. "Queensland’s multi-year Wet and Dry periods: implications for grazing enterprises and pasture resources." The Rangeland Journal. 43 (3), pp. 121-142. https://doi.org/10.1071/RJ20089Article
Using machine learning based emulators for the sensitivity analysis of process-driven biophysical models
Johnston, David B.. 2022. Using machine learning based emulators for the sensitivity analysis of process-driven biophysical models. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q78PhD Thesis
Impacts of Effects of Deficit Irrigation Strategy on Water Use Efficiency and Yield in Cotton under Different Irrigation Systems
Shukr, Hanan H., Pembleton, Keith G., Zull, Andrew F. and Cockfield, Geoff J.. 2021. "Impacts of Effects of Deficit Irrigation Strategy on Water Use Efficiency and Yield in Cotton under Different Irrigation Systems." Agronomy. 11 (2), pp. 1-18. https://doi.org/10.3390/agronomy11020231Article
Ecoefficiency of China's agricultural sector: what are the spatiotemporal characteristics and how are they determined?
Zeng, Jinjing, Han, Jinyu, Qu, Jiansheng, Maraseni, Tek Narayan, Xu, Li, Li, Hengji and Liu, Lina. 2021. "Ecoefficiency of China's agricultural sector: what are the spatiotemporal characteristics and how are they determined?" Journal of Cleaner Production. 325, pp. 1-11. https://doi.org/10.1016/j.jclepro.2021.129346Article
Evaluating management strategies for sustainable crop production under changing climate conditions: a system dynamics approach
Pham, Yen Hoang, Reardon-Smith, Kathryn and Deo, Ravinesh C.. 2021. "Evaluating management strategies for sustainable crop production under changing climate conditions: a system dynamics approach." Journal of Environmental Management. 292. https://doi.org/10.1016/j.jenvman.2021.112790Article
Probabilistic yield forecasting of robusta coffee at the farm scale using agroclimatic and remote sensing derived indices
Kouadio, Louis, Byrareddy, Vivekananda M., Sawadogo, Alidou and Newlands, Nathaniel K.. 2021. "Probabilistic yield forecasting of robusta coffee at the farm scale using agroclimatic and remote sensing derived indices." Agricultural and Forest Meteorology. 306, pp. 1-12. https://doi.org/10.1016/j.agrformet.2021.108449Article
An integrated systems model for sustainable agricultural development under changing climate: a case study in a coffee production system in Viet Nam
Pham, Yen Hoang. 2021. An integrated systems model for sustainable agricultural development under changing climate: a case study in a coffee production system in Viet Nam. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/dbty-kn67PhD Thesis
Performance of a process-based model for predicting robusta coffee yield at the regional scale in Vietnam
Kouadio, Louis, Tixier, Philippe, Byrareddy, Vivekananda, Marcussen, Torben, Mushtaq, Shahbaz, Rapidel, Bruno and Stone, Roger. 2021. "Performance of a process-based model for predicting robusta coffee yield at the regional scale in Vietnam." Ecological Modelling. 443, pp. 1-12. https://doi.org/10.1016/j.ecolmodel.2021.109469Article
How well do crop modeling groups predict wheat phenology, given calibration data from the target population?
Wallach, Daniel, Palosuo, Taru, Thorburn, Peter, Gourdain, Emmanuelle, Asseng, Senthold, Basso, Bruno, Buis, Samuel, Crout, Neil, Dibari, Camilla, Dumont, Benjamin, Ferrise, Roberto, Gaiser, Thomas, Garcia, Cecile, Gayler, Sebastian, Ghahramani, Afshin, Hochman, Zvi, Hoek, Steven, Hoogenboom, Gerrit, Horan, Heidi, ..., Seidel, Sabine J.. 2021. "How well do crop modeling groups predict wheat phenology, given calibration data from the target population?" European Journal of Agronomy. 124, pp. 1-10. https://doi.org/10.1016/j.eja.2020.126195Article
Queensland Archive of Agricultural Systems Modelling Data, Results and Outcomes
Pembleton, Keith. Queensland Archive of Agricultural Systems Modelling Data, Results and Outcomes. Toowoomba. https://doi.org/10.26192/GRZR-4Z78Dataset
Australian MODIS and Landsat Satellite Imagery for Agriculture
Marcussen, Torben. Australian MODIS and Landsat Satellite Imagery for Agriculture. Toowoomba. https://doi.org/10.26192/r5b3-0z70Dataset
An examination of deficit irrigation in Australian cotton systems using bioeconomic modelling and financial and risk analyses
Shukr, Hanan Hassan. 2021. An examination of deficit irrigation in Australian cotton systems using bioeconomic modelling and financial and risk analyses. PhD Thesis Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/45wn-6a58PhD Thesis
Agricultural climate risk management and global food security: recent progress in South-East Asia
Kouadio, Louis and Rahn, Eric. 2021. "Agricultural climate risk management and global food security: recent progress in South-East Asia." Lyubchich, Vyacheslav, Gel, Yulia R., Kilbourne, K. Halimeda, Miller, Thomas J., Newlands, Nathaniel K. and Smith, Adam B. (ed.) Evaluating climate change impacts. Boca Raton, FL, USA. CRC Press. pp. 347-362Edited book (chapter)
Carbon smart agriculture: An integrated regional approach offers significant potential to increase profit and resource use efficiency, and reduce emissions
Maraseni, Tek, An-Vo, Duc-Anh, Mushtaq, Shahbaz and Reardon-Smith, Kate. 2021. "Carbon smart agriculture: An integrated regional approach offers significant potential to increase profit and resource use efficiency, and reduce emissions." Journal of Cleaner Production. 282, pp. 1-14. https://doi.org/10.1016/j.jclepro.2020.124555Article
Climate change effects on pasture-based dairy systems in south-eastern Australia
Pembleton, K. G., Cullen, B. R., Rawnsley, R. P. and Ramilan, T.. 2021. "Climate change effects on pasture-based dairy systems in south-eastern Australia." Crop and Pasture Science. 72 (9), pp. 666-677. https://doi.org/10.1071/CP20108Article
System Identification of Linearized Rice Growth Dynamic for Precision Irrigation
Cabrera, John Audie, Radanielson, Ando Mariot and Pedrasa, Jhoanna Rhodette. 2019. "System Identification of Linearized Rice Growth Dynamic for Precision Irrigation." International Tropical Agriculture Conference 2019 (TropAg 2019). Brisbane, Australia 11 - 13 Nov 2019 Basel, Switzerland. https://doi.org/10.3390/proceedings2019036031Poster
Targeting management practices for rice yield gains in stress-prone environments of Myanmar
Radanielson, A. M., Kato, Yoichiro, Palao, Leo Kris, Feyisa, Gudina, Malabayabas, Arlene Julia, Aunario, Jorrel K., Garcia, Cornelia, Balanza, Jane G., Win, Khin Thawda, Singh, Rakesh K., Zamora, Chenie, Myint, Daw Tin Tin and Johnson, David E.. 2019. "Targeting management practices for rice yield gains in stress-prone environments of Myanmar." Field Crops Research. 244, pp. 1-12. https://doi.org/10.1016/j.fcr.2019.107631Article
Modelling of heat stress in a robotic dairy farm. Part 1: thermal comfort indices as the indicators of production loss
Ji, Boyu, Banhazi, Thomas, Ghahramani, Afshin, Bowtell, Les, Wang, Chaoyuan and Li, Baoming. 2020. "Modelling of heat stress in a robotic dairy farm. Part 1: thermal comfort indices as the indicators of production loss." Biosystems Engineering. 199, pp. 27-42. https://doi.org/10.1016/j.biosystemseng.2019.11.004Article
Towards an economic decision support system for amelioration of soil constraints in the Northern Grains Region
Ghahramani, Afshin, An-Vo, Duc-Anh, Rochecouste, John, Mushtaq, Shahbaz, Roberton, Stirling, Bennett, John McLean and Cockfield, Geoff. 2018. Towards an economic decision support system for amelioration of soil constraints in the Northern Grains Region. Toowoomba, Australia. University of Southern Queensland.Technical report
Value of seasonal forecasting for sugarcane farm irrigation planning
An-Vo, Duc-Anh, Mushtaq, Shahbaz, Reardon-Smith, Kathryn, Kouadio, Louis, Attard, Steve, Cobon, David and Stone, Roger. 2019. "Value of seasonal forecasting for sugarcane farm irrigation planning." European Journal of Agronomy. 104, pp. 37-48. https://doi.org/10.1016/j.eja.2019.01.005Article
Developing products for use in drought monitoring: improved crop yield and production forecasts (multi-crop models approach)
Kouadio, Louis, Marcussen, Torben and McRae, David. 2017. Developing products for use in drought monitoring: improved crop yield and production forecasts (multi-crop models approach). Toowoomba, Australia. University of Southern Queensland.Project report
Crop production modelling under climate change and regional adaptation
Kouadio, Louis, Mushtaq, Shahbaz, Marcussen, Torben and Cockfield, Geoff. 2017. Crop production modelling under climate change and regional adaptation. Toowoomba, Australia. University of Southern Queensland.Project report
Valuing seasonal climate forecasts in Australian agriculture: northern grains case study
Darbyshire, R., Crean, J., Kouadio, L., Cashen, M., Anwar, M. and Cobon, D.. 2018. Valuing seasonal climate forecasts in Australian agriculture: northern grains case study. Nnew South Wales, Australia. NSW Department of Primary Industries.Technical report
Advancing a farmer decision support tool for agronomic decisions on rainfed and irrigated wheat cropping in Tasmania
Phelan, David C., Harrison, Matthew T., McLean, Greg, Cox, Howard, Pembleton, Keith G., Dean, Geoff J., Parsons, David, do Amaral Richter, Maria E., Pengilley, Georgie, Hinton, Sue J. and Mohammed, Caroline L.. 2018. "Advancing a farmer decision support tool for agronomic decisions on rainfed and irrigated wheat cropping in Tasmania." Agricultural Systems. 167, pp. 113-124. https://doi.org/10.1016/j.agsy.2018.09.003Article
An investigation of farm-scale adaptation options for cotton production in the face of future climate change and water allocation policies in southern Queensland, Australia
Williams, Allyson, Mushtaq, Shahbaz, Kouadio, Louis, Power, Brendan, Marcussen, Torben, McRae, David and Cockfield, Geoff. 2018. "An investigation of farm-scale adaptation options for cotton production in the face of future climate change and water allocation policies in southern Queensland, Australia." Agricultural Water Management. 196, pp. 124-132. https://doi.org/10.1016/j.agwat.2017.10.026Article
Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach
Ali, Mumtaz, Deo, Ravinesh C., Downs, Nathan J. and Maraseni, Tek. 2018. "Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: a new hybrid copula-driven approach." Agricultural and Forest Meteorology. 263, pp. 428-448. https://doi.org/10.1016/j.agrformet.2018.09.002Article
Pasture measurements and bio-economic analyses to assess effects of climate, grazing pressure and pasture rundown on soil carbon and returns from legume-based sown pastures in the Condamine region of Southern Queensland. Final Report on project AOTGR1-137 'Increasing soil carbon in degraded cropping and grazing land'
Clewett, J. F.. 2015. Pasture measurements and bio-economic analyses to assess effects of climate, grazing pressure and pasture rundown on soil carbon and returns from legume-based sown pastures in the Condamine region of Southern Queensland. Final Report on project AOTGR1-137 'Increasing soil carbon in degraded cropping and grazing land'. Toowoomba, Australia. Agroclim Pty Ltd.Technical report
Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach
Nguyen-Huy, Thong, Deo, Ravinesh C., Mushtaq, Shahbaz, An-Vo, Duc-Anh and Khan, Shahjahan. 2018. "Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach." European Journal of Agronomy. 98, pp. 65-81. https://doi.org/10.1016/j.eja.2018.05.006Article
Modelling irrigated sugarcane crop under seasonal climate variability: a case study in Burdekin district
An-Vo, D.-A., Mushtaq, S. and Reardon-Smith, K.. 2017. "Modelling irrigated sugarcane crop under seasonal climate variability: a case study in Burdekin district." Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (ed.) 22nd International Congress on Modelling and Simulation (MODSIM2017). Hobart, Australia 03 - 08 Dec 2017 Australia. Modelling and Simulation Society of Australia and New Zealand . https://doi.org/10.36334/modsim.2017.J6.anvoPaper