ApsimX-Rest-Publications
From CSDMS
Grey literature references ApsimX
Total peer and non-peer reviewed publications |
1284 |
Reports |
17 |
Thesis |
30 |
Abstracts |
72 |
Code |
0 |
Blogs |
2 |
Miscellaneous |
0 |
Web |
1 |
Preprints |
3 |
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Grey literature reference(s) | Year | type | Cited |
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Grey literature reference(s) | Year | type | Cited |
Hoffmann, Frauke; G., Berend; Yin, Jianping; 2024. The Physics behind BVI Noise Reduction in Descent Flight through the Use of Dynamic Active Twist Control. , 1–14. 10.4050/F-0074-2018-12704 | 2024 | Model application | 0 |
Thompson, L.J.; Archontoulis, S.; Puntel, L.A.; 2023. 138. Determining site-specific corn nitrogen rate over time with APSIM model. , 1099–1105. 10.3920/978-90-8686-947-3_138 | 2023 | Model application | 0 |
Dodd, M.B.; Schon, N.; Mackay, A.D.; 2023. Soil health modelling with APSIM. , . 10.36334/modsim.2023.dodd | 2023 | Model application | 0 |
Huth, N.I.; Holzworth, D.P.; 2023. Redesigning a nutrient model to enable faster model development. , . 10.36334/modsim.2023.huth | 2023 | Model application | 0 |
Garin, Vincent; Van Oosterom, Erik; McLean, Greg; Hammer, Graeme; Murugesan, Tharanya; Kaliamoorthy, Sivasakthi; Diancumba, Madina; Hajjarpoor, Amir; Kholova, Jana; 2023. New algorithm for pearl millet modelling in APSIM allowing a mechanistic simulation of tillers. , . 10.1101/2023.02.12.528159 | 2023 | Model application | 1 |
Avendano, F.; Cichota, R.; Horne, D.; Singh, R.; Palmer, A.; Bloomer, D.; 2023. Use of APSIM Next Generation to identify in-field practices to reduce N leaching under intensive vegetable production systems. , . 10.36334/modsim.2023.avendano334 | 2023 | Model application | 0 |
Yang, X.N.; Zhang, Y.Q.; Tian, J.; Zhang, X.Z.; Ma, N.; Zhao, Z.G.; 2023. Impacts of drought on crop yield in the semiarid region. , . 10.36334/modsim.2023.yang410 | 2023 | Model application | 0 |
Pasquel, Daniel; Cammarano, Davide; Roux, Sébastien; Castrignano, Annamaria; Tisseyre, Bruno; Rinaldi, Michele; Troccoli, Antonio; Taylor, James Arnold; 2023. Downscaling the APSIM Crop Model for Simulation at the Within-Field Scale. , . 10.2139/ssrn.4394507 | 2023 | Model application | 1 |
Chen, C.; Ota, N.; Wang, B.; Fletcher, A.; 2023. Modelling the integration of long fallows into cropping systems for adaptation to climate change in the Mediterranean environment of Western Australia. , . 10.36334/modsim.2023.chen30 | 2023 | Model application | 0 |
Schepen, A.; Hughes, N.; Gaydon, D.; Sharman, C.; McComb, J.; Mitchell, P.; Carter, J.; 2023. Long-range impact-based forecasts for agricultural drought early warning in Australia. , . 10.36334/modsim.2023.schepen | 2023 | Model application | 0 |
Richetti, J.; Zheng, B.; Garcia, J.N.; Lawes, R.; 2023. Building trust in continental-scale modelling in agriculture. , . 10.36334/modsim.2023.richetti | 2023 | Model application | 0 |
Khaembah, E.N.; Thomas, S.; Cichota, R.; Sharp, J.; Brown, H.; 2023. Use of SCRUM-APSIM to predict soil water and soil nitrogen dynamics in arable crop rotations. , . 10.36334/modsim.2023.khaembah | 2023 | Model application | 0 |
He, D.; Wang, E.; Verburg, K.; 2023. The potential of using an inverse modelling approach to predict soil PAWC for summer crops in Australia. , . 10.36334/modsim.2023.he | 2023 | Model application | 0 |
Yang, Xuening; Zhang, Yongqiang; Zhang, Xuanze; Zhao, Zhigan; Zhang, Junmei; 2023. Apsim-Maize Cultivar Parameters are Stable Against Climate Variability in a Semiarid Region. , . 10.2139/ssrn.4327526 | 2023 | Model application | 0 |
Li, S.; Wang, B.; Liu, D.L.; Huete, A.; Yu, Q.; 2023. Compound drought and extreme temperature impacts on Australian wheat yields under climate change. , . 10.36334/modsim.2023.li657 | 2023 | Model application | 0 |
Wang, Z.K.; Liu, D.L.; Wang, B.; Cowie, A.; 2023. Water and nitrogen use and productivity of dryland mixed farming system under climate change. , . 10.36334/modsim.2023.wang134 | 2023 | Model application | 0 |
Cichota, R.; Lilburne, L.; Tait, A.; Snow, V.; 2023. Simulation modelling to develop an index of inherent risk of nitrogen losses to water from New Zealand's agricultural lands. , . 10.36334/modsim.2023.cichota245 | 2023 | Model application | 0 |
Xing, H.; Schwenke, G.D.; 2023. Simulated efficiency of DMPP applications in reducing N2O emissions from Australian N-fertilized rainfed wheat cropping systems. , . 10.36334/modsim.2023.xing579 | 2023 | Model application | 0 |
Herrmann, N.; Erwin, T.; 2023. High speed data access for spatial crop models running in the cloud. , . 10.36334/modsim.2023.herrmann | 2023 | Model application | 0 |
Cichota, R.; Khaembah, E.; Thomas, S.; Lilburne, L.; Vickers, S.; Omondiagbe, P.; Tait, A.; 2023. Simulating crop rotations to improve estimates of nutrient losses using APSIM in HPC. , . 10.36334/modsim.2023.cichota622 | 2023 | Model application | 0 |
Sales, Ramon Amaro; 2023. Modelagem de base processual aplicada ao crescimento e produtividade do eucalipto. , . [1] | 2023 | Model application | 0 |
Xiang, K.; Wang, B.; Liu, De Li, Huete, A.; Yu, Q.; 2023. Soil with high plant available water capacity can mitigate the agricultural drought effects on wheat biomass dynamic change. , . 10.36334/modsim.2023.xiang | 2023 | Model application | 0 |
Sajid, Saiara Samira; Huber, Isaiah; Archontoulis, Sotirios; Hu, Guiping; 2022. Integrating Crop Simulation and Machine Learning Models to Improve Crop Yield Prediction. , 120–125. 10.1109/SOSE55472.2022.9812678 | 2022 | Model application | 3 |
Vilas, M.P.; Bennett, F.R.; Verburg, K.; Adams, M.P.; 2021. Considering unknown uncertainty in imperfect models: nitrogen mineralization as a case study. 24th International Congress on Modelling and Simulation, . 10.36334/modsim.2021.B3.vilas | 2021 | Model application | 2 |
Gunarathna, M.H.J.P.; Kumari, M.K.N.; 2021. Simulation of Sugarcane Growth and Yield Under Optimized Subsurface Irrigation System. , . [2] | 2021 | Model application | 0 |
Zenone, Terenzio; Ottaiano, Lucia; Manco, Antonio; Vitale, Luca; Famulari, Daniela; 2021. Process-oriented simulation and observations of N 2 O emission from intensively managed agricultural cropping system. , 325–330. 10.1109/MetroAgriFor52389.2021.9628497 | 2021 | Model application | 1 |
Nelson, William; Hoffmann, Munir; May, Carlotta; Mashao, Frederick; Ayisi, Kingsley; Rötter, Reimund; 2021. Constraints and options to sustainably intensifying smallholder maize farming systems in southern Africa. , . [3] | 2021 | Model application | 0 |
Ziliani, Matteo G.; Aragon, Bruno; Franz, Trenton; Hoteit, Ibrahim; Sheffield, Justin; McCabe, Matthew F.; 2021. Target food security: assimilating ultra-high resolution satellite images into a crop-yield forecasting model. , . [4] | 2021 | Model application | 0 |
Zscheischler, Jakob; Vogel, Johannes; Rivoire, Pauline; Deidda, Cristina; Rahimi, Leila; Sauter, Christoph; Tschumi, Elisabeth; van der Wiel, Karin; Zhang, Tianyi; 2021. Identifying meteorological drivers of extreme impacts: an application to simulated crop yields. , . [5] | 2021 | Model application | 36 |
Souza, Débora Pantojo de; 2021. Calibração de modelos produtivos e da dinâmica de água no solo da plataforma APSIM para capim-marandu, aveia preta e azevém. , . [6] | 2021 | Model application | 0 |
Pylianidis, Christos; Snow, Val; Overweg, Hiske; Athanasiadis, Ioannis N.; 2021. Comparing machine learning metamodels of different scale for pasture nitrogen response rate prediction. , . [7] | 2021 | Model application | 0 |
Balcão, Lucas Fillietaz; 2021. APSIM - Tropical Pasture parameterization for biomass production, light and water competition in a silvopastoral system with >i/i< cv. Piatã and >i/i. , . [8] | 2021 | Model application | 0 |
Phillips, Samuel; 2021. Evaluating drainage water recycling in Central Iowa: Long-term yield and financial implications. , . [9] | 2021 | Model application | 0 |
Bracho Mujica, Gennady; Hayman, Peter; Sadras, Victor; Ostendorf, Bertram; Ferreira C. R., Nicole; Abdulai, Issaka; Rötter, Reimund; 2021. Major weather-related risks to crop performance along the Australian wheat belt for recent past and longer-term historical weather records. , . [10] | 2021 | Model application | 1 |
Balcão, Lucas Fillietaz; 2021. APSIM - Tropical Pasture parameterization for biomass production, light and water competition in a silvopastoral system with >i/i< cv. Piatã and >i/i. , . [11] | 2021 | Model application | 0 |
H. Afshar, Mehdi; Foster, Timothy; Higginbottom, Thomas P.; Parkes, Ben; Hufkens, Koen; Mansabdar, Sanjay; Ceballos, Francisco; Kramer, Berber; 2021. Overcoming basis risk in agricultural index insurance using crop simulation modeling and satellite crop phenology. , . [12] | 2021 | Model application | 0 |
Raza, Ahsan; Gaiser, Thomas; Habib-Ur-Rahman, Muhammad; Ahrends, Hella; 2021. Erosion and sediment transport models with reference to the needs of small scale. , . [13] | 2021 | Model application | 0 |
Collins, Brian; Najeeb, Ullah; Luo, Qunying; Tan, Daniel K.Y.; 2021. Contribution of climate models and APSIM phenological parameters to uncertainties in spring wheat simulations: application of SUFI-2 algorithm in northeast Australia. , . [14] | 2021 | Model application | 3 |
Chen, Qiaomin; Zheng, Bangyou; Chen, Tong; Chapman, Scott; 2021. Integration of APSIM and PROSAIL models to develop more precise radiometric estimation of crop traits using deep learning. bioRxiv, 2021.02.02.429471. 10.1101/2021.02.02.429471 | 2021 | Model application | 1 |
Rötter, Reimund; Scheiter, Simon; Hoffmann, Munir; Pfeiffer, Mirjam; Nelson, William; Ayisi, Kingsley; Taylor, Peter; Feil, Jan-Henning; Bakhsh, Sara Yazdan; Isselstein, J; Linstaedter, Anja; Behn, Kai; Westphal, Catrin; Grass, Ingo; Odhiambo, Jude J. O.; Twine, Wayne; Paolo, Merante; Bracho-Mujica, Gennady; Bringhenti, Thomas; Lamega, Sala; Abdulai, Issaka; Lam, Quang; Anders, Mina; Linden, Valerie; Weier, Sina; Foord, Stefan; Erasmus, Barend; 2021. Letter-to-the-Editor: Modelling the multi-functionality of African savanna landscapes under global change. , . [15] | 2021 | Model application | 0 |
Feitosa, Tiberio Sousa; 2021. Parametrização do modelo APSIM-Tropical Pasture para a simulação de crescimento de Megathyrsus maximus cv. Mombaça. , . [16] | 2021 | Model application | 0 |
Dias, Henrique Boriolo; 2020. Sugarcane variety trait modelling: evaluating and improving the APSIM-Sugar model for simulating crop performance under current and future climates across Brazil. , . [17] | 2020 | Model application | 0 |
Tolomio, Massimo; Casa, Raffaele; 2020. Defining irrigation thresholds in remote sensing-based decision support systems: a review of crop models mechanistic descriptions of crop water stress. , . [18] | 2020 | Model application | 0 |
Sauter, Christoph; Deidda, Cristina; Rahimi, Leila; Rivoire, Pauline; Tschumi, Elisabeth; Vogel, Johannes; van der Wiel, Karin; Zscheischler, Jakob; 2020. Identifying compound meteorological drivers of extreme wheat yield loss using Lasso regression. , . [19] | 2020 | Model application | 0 |
Yang, Kai-Wei; Chapman, Scott; Tuinstra, Mitchell; 2020. R Pipeline for Calculation of APSIM Parameters and Generating the XML File. , . 10.4231/69H7-CV75 | 2020 | Model application | 1 |
Vogel, Johannes; Rivoire, Pauline; Deidda, Cristina; Rahimi, Leila; Sauter, Christoph Alexander; Tschumi, Elisabeth; van der Wiel, Karin; Zhang, Tianyi; Zscheischler, Jakob; 2020. Identifying meteorological drivers of extreme impacts: an application to simulated crop yields. , . [20] | 2020 | Model application | 36 |
Vogel, Johannes; Rivoire, Pauline; Deidda, Cristina; Rahimi, Leila; Sauter, Christoph Alexander; Tschumi, Elisabeth; van der Wiel, Karin; Zhang, Tianyi; Zscheischler, Jakob; 2020. Identifying meteorological drivers of extreme impacts: an application to simulated crop yields. , . 10.5194/esd-12-151-2021 | 2020 | Model application | 36 |
H. Afshar, Mehdi; Foster, Timothy; Parkes, Ben; Hufkens, Koen; Ceballos, Francisco; Kramer, Berber; 2020. Improving performance of index insurance using crop models and phenological monitoring. , . [21] | 2020 | Model application | 16 |
Dias, Henrique Boriolo; 2020. Sugarcane variety trait modelling: evaluating and improving the APSIM-Sugar model for simulating crop performance under current and future climates across Brazil. , . [22] | 2020 | Model application | 0 |
Roetter, Reimund; Scheiter, Simon; Hoffmann, Munir; Ayisi, Kwabena; Merante, Paolo; Nelson, William; Isselstein, Johannes; Odhiambo, Jude; Bracho Mujica, Gennady; Taylor, Peter; Twine, Wayne; Erasmus, Barend; 2020. Modelling impacts of climate change and alternative management interventions on the multi-functionality of agricultural landscapes in southern Africa. , . [23] | 2020 | Model application | 0 |
Masvaya, Esther Nyaradzo; 2019. Risk and crop production intensification options for semi-arid southern Zimbabwe. , . [24] | 2019 | Model application | 0 |
Saddique, Qaisar; Ji, Jianmei; Ajaz, Ali; Jiatun, Xu; Yufeng, Zou; He, Jianqiang; Cai, Huanjie; 2019. <i>Performance Comparison of the APSIM and CERES-Wheat models in Guanzhong Plain, China</i>. , . 10.13031/aim.201900416 | 2019 | Model application | 2 |
Lopes, Sara de Oliveira Romeiro; 2019. Planejamento e execução de adubações nitrogenadas em pastagens em sistemas de produção de gado de corte no Estado de São Paulo. , . [25] | 2019 | Model application | 2 |
Mullet, John; 2019. Genomics of Energy Sorghum's Water Use Efficiency/Drought Resilience. , Final Report, 1497533. [26] | 2019 | Model application | 0 |
Nóia Junior, Rogério de Souza; 2019. Soybean and maize off-season sowing dates when cultivated in succession: impacts of climate variability on yield and profitability. , . [27] | 2019 | Model application | 1 |
Khaembah, E.N.; Cichota, R.; Zyskowski, R.; Vogeler, I.; 2019. Dynamic simulation of crop rotations to evaluate the impact of different nitrogen management strategies on water quality in Southland, New Zealand. 23rd International Congress on Modelling and Simulation, . 10.36334/modsim.2019.C1.khaembah | 2019 | Model application | 0 |
Nóia Junior, Rogério de Souza; 2019. Soybean and maize off-season sowing dates when cultivated in succession: impacts of climate variability on yield and profitability. , . [28] | 2019 | Model application | 1 |
Vianna, Murilo dos Santos; 2018. Functional, structural and agrohydrological sugarcane crop modelling: towards a simulation platform for Brazilian farming systems. , . [29] | 2018 | Model application | 0 |
Masjedi, Ali; Zhao, Jieqiong; Thompson, Addie M.; Yang, Kai-Wei; Flatt, John E.; Crawford, Melba M.; Ebert, David S.; Tuinstra, Mitchell R.; Hammer, Graeme; Chapman, Scott; 2018. Sorghum Biomass Prediction Using Uav-Based Remote Sensing Data and Crop Model Simulation. , 7719–7722. 10.1109/IGARSS.2018.8519034 | 2018 | Model application | 31 |
Ndoli, Alain; 2018. Farming with trees: a balancing act in the shade. , . [30] | 2018 | Model application | 2 |
Grubert, Daniel Alves da Veiga; 2018. Consorciação de cana-de-açúcar e canola: desempenho agronômico e bases para simulação. , . [31] | 2018 | Model application | 0 |
Wijekoon, W. M. P. C., Jayasinghe, G. Y., & Maheepala, S. A. D. S. S. 2018. Application of Crop Simulation Models as a Strategy for Climate Change Risk Assessment and Adaptation in Agricultural Systems.. Proceedings of International Forestry and Environment Symposium, 23. 10.31357/fesympo.v23i0.3749 | 2018 | Model application | 0 |
Bosi, Cristiam; 2018. Parameterization and evaluation of mechanistic crop models for estimating Urochloa brizantha cv. BRS Piatã productivity under full sun and in silvopastoral system. , . [32] | 2018 | Model application | 8 |
An-Vo, D.-A.; Mushtaq, S.; Reardon-Smith, K.; 2017. Modelling irrigated sugarcane crop under seasonal climate variability: A case study in Burdekin district. 22nd International Congress on Modelling and Simulation, . 10.36334/MODSIM.2017.J6.anvo | 2017 | Model application | 3 |
Chen, C.; Wu, R.; Fletcher, A.; Lawes, R.; Oliver, Y.; 2017. Sensitivity of simulated yield of dryland wheat to uncertainty in estimated plant-available water capacity. 22nd International Congress on Modelling and Simulation, . 10.36334/MODSIM.2017.B3.Chen | 2017 | Model application | 1 |
Flohr, B.M.; Hunt, J.R.; Kirkegaard, J.A.; Evans, J.R.; 2017. Water and temperature stress define the optimal flowering period for wheat in south-eastern Australia. , . [33] | 2017 | Model application | 137 |
Aller, Deborah Marie; 2017. Scaling understanding of biochar aging impacts on soil water and crop yields. , . [34] | 2017 | Model application | 3 |
Debas, Mezegebu; 2016. Crop intensification options and trade-offs with the water balance in the Central Rift Valley of Ethiopia. , . [35] | 2016 | Model application | 1 |
De Silva, S.H.N.P.; Taro, Takahashi; Kensuke, Okada; 2016. Preliminary evaluation of optimum N management for soft and hard wheat in Kanto area through crop growth simulation. , . [36] | 2016 | Model application | 0 |
Manges, Eric; 2016. Analyzing the Impact of Climate Change on Future Wheat Yields. , . [37] | 2016 | Model application | 2 |
Battisti, Rafael; 2016. Calibration, uncertainties and use of soybean crop simulation models for evaluating strategies to mitigate the effects of climate change in Southern Brazil. , . [38] | 2016 | Model application | 11 |
Wang, Ya-xu; Sun, Hong-quan; Lv, Juan; Su, Zhi-cheng; 2016. Research on the deficit irrigation scheduling to winter wheat at critical period based on crop modeling method. , . 10.2991/icmemtc-16.2016.120 | 2016 | Model application | 0 |
Yanyang, Yidan; Xu, Jingwen; Zhao, Junfang; Li, Ning; He, Yue; 2016. Study on Spring Wheat Yield Change of Inner Mongolia in Time and Space Based on APSIM Model. , . 10.2991/icadme-16.2016.79 | 2016 | Model application | 0 |
Ning, Li; Xu, Jingwen; Zhao, Junfang; Pu, Feiyu; Xiang, Surong; 2015. The study of the relationship between climate factors and growth period of spring wheat based on APSIM model. , . 10.2991/icaees-15.2015.95 | 2015 | Model application | 0 |
Dumbrell, N.P.; Kragt, M.E.; Meier, E.A.; Biggs, J.S.; Thorburn, P.J.; 2015. Integrating biophysical and whole-farm economic modelling of agricultural climate change mitigation. 21st International Congress on Modelling and Simulation, . 10.36334/MODSIM.2015.B3.Dumbrell | 2015 | Model application | 0 |
Mohanty, Manaranjan; 2015. Simulation of nitrogen release from organic materials in the soybean/wheat cropping systems on Vertisols in central India. , . [39] | 2015 | Model application | 2 |
Prado, Pierre F.do; Carmo, Janaina B. do; Thorburn, Peter; 2015. Computational exploration: using APSIM, Knearest and Rosetta for the simulation of nitrous oxide emissions in Brazilian sugarcane soil. , . 10.5540/03.2015.003.01.0157 | 2015 | Model application | 0 |
Sergio Graziano Magalhaes, Paulo; Frizarin Pereira Ferraz, Gustavo; 2015. Simulações Múltiplas para Estimar a Variabilidade Espacial da Produtividade da Cana-de-Açúcar Utilizando o Modelo APSIM. , . 10.19146/pibic-2015-38224 | 2015 | Model application | 0 |
SALAPADORU HEWAWASAM, NUWAN PIYASHANTHA DE SILVA; OKADA, KENSUKE; TAKAHASHI, TARO; 2015. Validation of APSIM crop growth model for Japanese wheat varieties across N application rates: Step towards a decision support system for Japanese wheat farmers. , . [40] | 2015 | Model application | 0 |
Zhang, Y.; Zhao, Y.X.; 2015. Potential impact of increased heat tolerance of grain formation on maize yield under future warming. 21st International Congress on Modelling and Simulation, . 10.36334/MODSIM.2015.B3.Zhang | 2015 | Model application | 1 |
He. D.; Wang, J.; Wang, E.; 2015. Modelling the impact of climate variability and irrigation on winter canola yield and yield gap in Southwest China. 21st International Congress on Modelling and Simulation, . 10.36334/MODSIM.2015.B3.He | 2015 | Model application | 2 |
Zhao, Z.; Verburg, K.; 2015. Modelling nitrogen uptake by sugarcane crops to inform synchrony of N supply from controlled release fertiliser. 21st International Congress on Modelling and Simulation, . 10.36334/MODSIM.2015.B3.Zhao | 2015 | Model application | 3 |
Luo, Z.; Wang, E.; Smith, C.J.; 2015. Potential of increasing yield while mitigating climate change in Australian wheat systems: a simulation study. 21st International Congress on Modelling and Simulation, . 10.36334/MODSIM.2015.B3.Luo | 2015 | Model application | 0 |
Stuermer, Arne W.; 2015. Validation of Installation Effect Predictions through Simulations of Contra-Rotating Open Rotors at Low-Speed Flight Conditions. , . 10.2514/6.2015-2886 | 2015 | Model application | 4 |
Myoung, B.; Kim, S.H.; Kafatos, M.; Kim, J.; Stack, D.H.; 2015. Temperature, sowing and harvest dates, and yield potential of maize in the southwestern US. , 1–3. 10.13031/cc.20152141984 | 2015 | Model application | 0 |
Teixeira, E.I.; Jognstone, P.; Chakwizira, E.; de Ruiter, J.; Malcolm, B.; Shaw, N.; Zyskowski, R.; Khaembah, E.; Sharp, J.; Meenken, E.; Fraser, P.; Thomas, S.; Brown, H.; Curtin, D.; 2015. Quantifying key sources of variability in cover crop reduction of N leaching. 21st International Congress on Modelling and Simulation, . 10.36334/MODSIM.2015.B3.Teixeira | 2015 | Model application | 1 |
Chen, C.; McNee, M.; Lawes, R.; Fletcher, A.; 2015. Model-based explorations to assess climate risk to summer crop production and its effects on wheat yield in the central wheatbelt of Western Australia. 21st International Congress on Modelling and Simulation, . 10.36334/MODSIM.2015.B4.chen | 2015 | Model application | 0 |
Shelia, V.; Sharda, V.; Hansen, J.; Porter, C.; Zheng, M.; Aggarwal, P.; Hoogenboom, G.; 2015. CCAFS Regional Agricultural Forecasting Toolbox (CRAFT): software for forecasting of crop production, risk analysis and climate change impact studies. ASABE Annual International Meeting, . 10.13031/aim.20152182505 | 2015 | Model application | 1 |
Vibart, R.E.; Vogeler, I.; Cichota, R.; Horne, D.; 2015. Predictions of nitrogen leaching from a well-drained soil under dryland and irrigated dairy farming using APSIM and OVERSEER. 21st International Congress on Modelling and Simulation, . 10.36334/MODSIM.2015.B3.Vibart | 2015 | Model application | 0 |
Holzworth, D.; Huth, N.I.; Fainges, J.; Herrmann, N.I.; Zurcher, E.; Brown, H.; Snow, V.; Verrall, S.; Cichota, R.; Boherty, A.; deVoil, P.; McLean, G.; Brider, J.; 2015. APSIM Next Generation: The final frontier?. , 347-353. 10.36334/MODSIM.2015.B1.Holzworth | 2015 | Model application | 6 |
Pinto, Helena Maria Soares; 2015. Projeções de risco de produção de cana-de-açúcar no Estado de São Paulo baseadas em simulações multimodelos e cenários climáticos futuros. , . [41] | 2015 | Model application | 0 |
Traore, B.; 2014. Climate change, climate variability and adaptation options in smallholder cropping systems of the Sudano - Sahel region in West Africa. None, NoneNone. None | 2014 | Model application | 12 |
Stuermer, Arne W.; Akkermans, Rinie A.; 2014. Validation of Aerodynamic and Aeroacoustic Simulations of Contra-Rotating Open Rotors at Low-Speed Flight Conditions. , . 10.2514/6.2014-3133 | 2014 | Model application | 20 |
Rurinda, J.; 2014. Vulnerability and adaptation to climate variability and change in smallholder farming systems in Zimbabwe. , . [42] | 2014 | Model application | 13 |
De Silva, Salpadoru Hewawasam Nuwan Priyashantha; 高橋, 太郎; 岡田, 謙介; 2014. Parameterization of the APSIM crop growth model for Japanese wheat varieties across sowing times and N application rates: Step towards a decision support system for Japanese wheat farmers. , . [43] | 2014 | Model application | 0 |
Dong, Chaoyang; Li, Kenan; Yang, Xiaoguang; Liu, Zhijuan; Sun, Shuang; 2014. Effects of drought on grain yield of spring maize in Northern China. , 1–5. 10.1109/Agro-Geoinformatics.2014.6910651 | 2014 | Model application | 2 |
Dietzel, Ranae; 2014. A comparison of carbon storage potential in corn- and prairie-based agroecosystems. , . [44] | 2014 | Model application | 10 |
Xing, H.; Liu, D.L.; Wang, E.; Smith, C.J.; Anwar, M.R.; Yu, Q.; 2013. Modelling the response of N2O emission factor to nitrogen application rates and inter-annual climate variability. 20th International Congress on Modelling and Simulation, . 10.36334/modsim.2013.H4.xing | 2013 | Model application | 0 |
King, D.; Bryan, B.A.; Zhao, G.; Luo, Z.; Wang, E.; 2013. High-resolution continental scale modelling of Australian wheat yield; biophysical and management drivers. 20th International Congress on Modelling and Simulation, . 10.36334/modsim.2013.B2.king | 2013 | Model application | 0 |
Shaw, M.; Silburn, D.M.; Ellis, R.; Searle, R.; Biggs, J.; Thorburn, P.; Whish, G.; 2013. Paddock scale modelling to assess effectiveness of agricultural management practice in improving water quality in the Great Barrier Reef Catchments. 20th International Congress on Modelling and Simulation, . 10.36334/modsim.2013.L21.shaw | 2013 | Model application | 4 |
Zhao, Z.; Wang, E.; Xue, L.; Wu, Y.; Zhang, J.; Wang, Z.; 2013. Accuracy of root modeling and its potential impact on simulation of grain yield of wheat. 20th International Congress on Modelling and Simulation, . 10.36334/modsim.2013.B2.zhao | 2013 | Model application | 0 |
Cichota, R.; Snow, V.O.; Kelliher, F.M.; 2013. Sensitivity analysis to investigate the factors controlling the effectiveness of a nitrification inhibitor in the soil. 20th International Congress on Modelling and Simulation, . 10.36334/modsim.2013.H4.cichota | 2013 | Model application | 0 |
Huda, Abul; 2013. Integrated crop and environmental management for improved productivity and food security. , 2013EEP. 10.5339/qfarf.2013.EEP-017 | 2013 | Model application | 0 |
Akkermans, Rinie A.; Stuermer, Arne W.; Delfs, Jan; 2013. Assessment of Front-Rotor Trailing-Edge-Blowing for the Reduction of Open Rotor Noise Emissions. , . 10.2514/6.2013-2200 | 2013 | Model application | 5 |
Gaydon, D.S.; 2012. Living with less water: development of viable adaptation options for Riverina irrigators. , . [45] | 2012 | Model application | 2 |
Akkermans, Rinie; Delfs, Jan; Lummer, Markus; Siefert, Malte; Caruelle, Bastien; Tiedemann, Christian; 2012. Handling of Non-Periodic Contra Rotating Open Rotor Data. , . 10.2514/6.2012-2262 | 2012 | Model application | 13 |
Stuermer, Arne; Yin, Jianping; 2012. The Case for Counter-Rotation of Installed Contra-Rotating Open Rotor Propulsion Systems. , . 10.2514/6.2012-2785 | 2012 | Model application | 7 |
Zhao, Gang; Song, Xiaodong; Yan, Changqing; Yu, Qiang; 2012. Porting a process-based crop model to a high-performance computing environment for plant simulation. , 462–465. 10.1109/PMA.2012.6524873 | 2012 | Model application | 0 |
Ahmed, M.; Hassan, F.u.; 2011. APSIM and DSSAT models as decision support tools. 19th International Congress on Modelling and Simulation, 1174-1180. 10.36334/modsim.2011.C4.ahmed | 2011 | Model application | 15 |
Beukes, P.C.; Romera, A.J.; Gregorini, P.; Clark, D.A.; Chapman, D.F.; 2011. Using a whole farm model linked to the APSIM suite to predict production, profit and N leaching for next generation dairy systems in the Canterbury region of New Zealand. 19th International Congress on Modelling and Simulation, . 10.36334/modsim.2011.B1.beukes | 2011 | Model application | 7 |
Romera, A.J.; Levy, G.; Beukes, P.C.; Clark, D.A.; Glassey, C.B.; 2011. Linking a whole farm model to the APSIM suite to predict N leaching on New Zealand dairy farms. 19th International Congress on Modelling and Simulation, . 10.36334/modsim.2011.B1.romera | 2011 | Model application | 1 |
Vogeler, I.; Giltrap, D.; Li, F.; Snow, V.; 2011. Comparison of models for predicting nitrification, denitrification and nitrous oxide emissions in pastoral systems. 19th International Congress on Modelling and Simulation, . 10.36334/modsim.2011.B1.vogeler | 2011 | Model application | 6 |
Luo, Z; Wang, E.; Bryan, B.; 2011. A meta-model for soil carbon stock in agricultural soils. , . 10.36334/modsim.2011.B1.luo | 2011 | Model application | 0 |
Cichota, R.; Snow, V.O.; 2011. Simplifying pastoral systems modelling – accounting for the effect of urine deposition on N leaching. 19th International Congress on Modelling and Simulation, . 10.36334/modsim.2011.B1.cichota | 2011 | Model application | 1 |
Vogeler, I.; Cichota, R.; Snow, V.; Jolly, B.; 2011. Development and desktop-assessment of a concept to forecast and mitigate N leaching from dairy farms. 19th International Congress on Modelling and Simulation, . 10.36334/modsim.2011.B1.vogeler2 | 2011 | Model application | 3 |
Schnell, R.; Yin, J.; Voss, C.; Nicke, E.; 2010. Assessment and Optimization of the Aerodynamic and Acoustic Characteristics of a Counter Rotating Open Rotor. , 11–25. 10.1115/GT2010-22076 | 2010 | Model application | 43 |
Zhang, Hong-wei; Neale, Christopher M. U.; Maltese, Antonino; Chen, Huai-liang; Zou, Chun-hui; Yu, Wei-dong; 2010. The review of dynamic monitoring technology for crop growth. , 78242L. 10.1117/12.864811 | 2010 | Model application | 3 |
Schnell, R.; Yin, J.; Voss, C.; Nicke, E.; 2010. Assessment and Optimization of the Aerodynamic and Acoustic Characteristics of a Counter Rotating Open Rotor. , 11–25. 10.1115/GT2010-22076 | 2010 | Model application | 43 |
Yin, Jianping; Stuermer, Arne; 2010. Noise Radiation from Installed Pusher Propeller Using Coupling of Unsteady Panel Method, Actuator Disk and FW-H Methodology. , . 10.2514/6.2010-3849 | 2010 | Model application | 5 |
Jolly, Ben; Lyons, Paul; Snow, Val; 2010. ADEPT: a visual tool for organising simulations. , 1–4. 10.1145/1832838.1832839 | 2010 | Model application | 0 |
Adam, M.Y.O.; 2010. A framework to introduce flexibility in crop modelling: from conceptual modelling to software engineering and back. , . [46] | 2010 | Model application | 2 |
Stuermer, Arne; Yin, Jianping; 2010. Aerodynamic and Aeroacoustic Installation Effects for Pusher-Configuration CROR Propulsion Systems. , . 10.2514/6.2010-4235 | 2010 | Model application | 29 |
Li, Yan; Xue, Changying; Yang, Xiaoguang; Wang, Jing; Liu, Yuan; Enli, Wang; 2009. Reduction of yield risk of winter wheat by appropriate irrigation based on APSIM model. , . [47] | 2009 | Model application | 5 |
Stuermer, Arne; Yin, Jianping; 2009. Low-Speed Aerodynamics and Aeroacoustics of CROR Propulsion Systems. , . 10.2514/6.2009-3134 | 2009 | Model application | 84 |
Yin, Jianping; Stuermer, Arne; Aversano, Marco; 2009. Coupled uRANS and FW-H Analysis of Installed Pusher Propeller Aircraft Configurations. , . 10.2514/6.2009-3332 | 2009 | Model application | 26 |
Nape, K.M.; Steyn, A.S.; Walker, S.; 2009. The Proposed Use of Seasonal Forecasts to Improve Maize Production in the Free State. , . 10.3997/2214-4609-pdb.241.nape_abstract | 2009 | Model application | 0 |
Kim, H.K.; 2008. Modelling Environmental and Genetic Control of Tillering in Sorghum. , . [48] | 2008 | Model application | 1 |
Ncube, B.; 2007. Understanding cropping systems in the semi-arid environments of Zimbabwe: options for soil fertility management. , . [49] | 2007 | Model application | 21 |
Franco-Dixon, Mary; 2007. Economic Analysis of Water Pricing and Water Allocation Options for the Emerald Irrigation Area: An Integrated Hydrological, Bio-Physical and Economic Modelling Approach. , . [50] | 2007 | Model application | 0 |
Citations
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Nr. of publications: | 1282 |
Total citations: | 45482 |
h-index: | 96 |
m-quotient: | 2.53 |
Publications per year
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