Encycl Agric Food Syst 5:337–358Īndarzian B, Hoogenboom G, Bannayan M, Shirali M, Andarzian B (2015) Detremining optimum sowing date of wheat using CSM-CERES-Wheat model. Asian J Res Business Eco Manage, 4 (8): 234-242Īhuja LR, Ma L, Fang X, Saseeendran SA, Islam A, Malone RW (2014) Computer modelling: applications to environment and food security. (2014) Analysis of Tehran construction and demolition waste management with system dynamics approach. Agric Water Manage 164:317–330Īhmadvand A, Varandinaderi A, Bastan M Yah,yaei, M. Environ Modelling Software 15:313–330Īdhikari P, Ale S, Bordovsky JP, Thorp KR, Modala NR, Rajan N, Barnes EM (2016) Simulating future climate change impacts on seed cotton yield in the Texas High Plains using the CSM-CROPGRO-Cotton model. United States Agency for International DevelopmentĪbrahamsen P, Hansen S (2000) Daisy: an open soil-crop-atmosphere system model. Systems Analysis of Rice Production USAID: System for Environmental and Agricultural Modeling: Linking European Science and Society Systems SARP: International Rice Research Institute MAXENT: Intergovernmental Panel on Climate Change IPM: Information and computer technology INRA:įrench National Institute for Agronomic Research IPCC: International Consortium for Agricultural Systems Applications ICT: International Benchmark Sites Network for Agro-technology Transfer ICASA: International Business Machines Cooperation IBSNAT : The Consultative Group on International Agricultural Research CNCPS:Ĭornell Net Carbohydrate and Protein System DSSAT:ĭecision Support System for Agro-technology Transfer FAO: The Agricultural Production Systems Simulator BioMA: Overall, agricultural systems modeling needs to rapidly adopt new technologies such as ICT, big data, remote sensing, and machine learning algorithms that will help enhance crop models’ accuracy and efficiency in designing sustainable agricultural systems at different farms, landscape, regional, and continental scales to meet the future demands of end-users.Īgricultural Model Inter-comparison and Improvement Project APSIM: Finally, focus on the software design and development should be encouraged in the modeling community as ICT has opened new horizons in the form of parallel processing or cloud computing methods, software languages and coding standards, and the development of user-friendly community-driven mobile applications that will enable the use of models to a more divergent group of stakeholders. For next-generation modeling, gaps in the existing data should be minimized, a transition from supply-driven approach to demand-driven approach is needed to develop models according to the demands of end-users. These developments assist in data compatibility by creating a common vocabulary and datasets for model ensembling. These deficiencies could be rectified through better data harmonization and interlinking of models by developing different frameworks such as BioMA (Biophysical Model Applications) and APSIM (the Agricultural Production Systems Simulator). The majority of the existing models are still using the old programming languages and legacy codes, software testing is uncommon while maintenance of documentation and software/codes is also a neglected avenue. However, existing models are not fully equipped with the important advancements achieved in the field of data and information and computer technology (ICT). Present-day agricultural models are the outcomes of research initiatives started 3–4 decades ago. Additionally, we support industrial product manufacturers with their equipment for fertilizers, chemicals, and concrete or cement manufacturing.Agricultural system models are tools that provide a synthesis and quantification to evaluate the effects of water, soil, crops, management practices, and climate on the sustainability of agricultural production and to ensure food security. We work with grain, seed, nut, and dairy farmers and large- and small-scale food producers, including breweries, bakeries, dairies, and animal feed producers. Our millwright and installation teams are experts in popular equipment from brands including Carter Day, Columbia/Okura, Donaldson, Hamer-Fischbein, Oliver Manufacturing, Sukup, Universal Industries, Q-SAGE, and more. In addition, our team can ensure your industrial, farming, and agriculture equipment and processing lines are running at peak performance. Our design, fabrication, installation, and millwright teams provide services for the entire lifecycle of your agriculture or industrial facility, including site surveying and facility planning, construction, repair, and maintenance. Whether you are modifying your existing processing line, needing construction services on your farm, looking for experts in custom fabrication, or millwright services ahead of harvest, American Ag Systems can help.
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