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Crop simulation model

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A Crop Simulation Model (CSM) is a simulation model that describes processes of crop growth and development as a function of weather conditions, soil conditions, and crop management.[1][2][3] Typically, such models estimate times that specific growth stages are attained, biomass of crop components (e.g., leaves, stems, roots and harvestable products) as they change over time, and similarly, changes in soil moisture and nutrient status.

They are dynamic models that attempt to use fundamental mechanisms of plant and soil processes to simulate crop growth and development. The algorithms used vary in detail, but most have a time step of one day.

Commonly used crop simulation models

  • CropSyst, a multi-year multi-crop daily time-step crop simulation model developed by a team at Washington State University's Department of Biological Systems Engineering.[4]
  • DSSAT, the Decision Support System for Agro-technology Transfer, is a multi-crop, multi-year crop simulation model which evolved from the IBSNAT (1982-1993) and ICASA (1994-2003) collaboration projects.[5]
  • APSIM, the Agricultural Production Systems simulator is a daily time step model crop production systems.[6][7] APSIM was developed by CSIRO, the State of Queensland (through its Department of Agriculture Fisheries and Forestry), and The University of Queensland in Australia.
  • STICS is a soil-plant simulation model developed by researchers at INRA (France).[8] It is used to model crop growth using a daily time step algorithm.

See also

References

  1. ^ "What Are Crop Simulation Models?". Agricultural Research Service, United States Department of Agriculture. Retrieved May 23, 2014.
  2. ^ Hoogenboom, Gerrit; White, Jeffrey W.; Messina, Carlos D. (2004). "From genome to crop: integration through simulation modeling". Field Crops Research. 90: 145–163. doi:10.1016/j.fcr.2004.07.014.
  3. ^ Chakrabarti, B. "Crop Simulation Models" (PDF). Indian Agricultural Research Institute. Retrieved May 23, 2014.
  4. ^ Stöckle, Claudio O.; Donatelli, Marcello; Nelson, Roger (2003-01-01). "CropSyst, a cropping systems simulation model". European Journal of Agronomy. Modelling Cropping Systems: Science, Software and Applications. 18 (3): 289–307. doi:10.1016/S1161-0301(02)00109-0. ISSN 1161-0301.
  5. ^ Jones, J. W; Hoogenboom, G; Porter, C. H; Boote, K. J; Batchelor, W. D; Hunt, L. A; Wilkens, P. W; Singh, U; Gijsman, A. J; Ritchie, J. T (2003-01-01). "The DSSAT cropping system model". European Journal of Agronomy. Modelling Cropping Systems: Science, Software and Applications. 18 (3): 235–265. doi:10.1016/S1161-0301(02)00107-7. ISSN 1161-0301.
  6. ^ Keating, B. A; Carberry, P. S; Hammer, G. L; Probert, M. E; Robertson, M. J; Holzworth, D; Huth, N. I; Hargreaves, J. N. G; Meinke, H; Hochman, Z; McLean, G (2003-01-01). "An overview of APSIM, a model designed for farming systems simulation". European Journal of Agronomy. Modelling Cropping Systems: Science, Software and Applications. 18 (3): 267–288. doi:10.1016/S1161-0301(02)00108-9. ISSN 1161-0301.
  7. ^ Holzworth, Dean; Huth, N. I.; Fainges, J.; Brown, H.; Zurcher, E.; Cichota, R.; Verrall, S.; Herrmann, N. I.; Zheng, B.; Snow, V. (2018-05-01). "APSIM Next Generation: Overcoming challenges in modernising a farming systems model". Environmental Modelling & Software. 103: 43–51. doi:10.1016/j.envsoft.2018.02.002. ISSN 1364-8152.
  8. ^ Brisson, N; Gary, C; Justes, E; Roche, R; Mary, B; Ripoche, D; Zimmer, D; Sierra, J; Bertuzzi, P; Burger, P; Bussière, F (2003-01-01). "An overview of the crop model stics". European Journal of Agronomy. Modelling Cropping Systems: Science, Software and Applications. 18 (3): 309–332. doi:10.1016/S1161-0301(02)00110-7. ISSN 1161-0301.