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Crop Simulation Models: A Tool for Future Agricultural Research and Climate Change

Author

Listed:
  • Fayaz, Asma
  • Kumar, Y. Rajit
  • Lone, Bilal Ahmad
  • Kumar, Sandeep
  • Dar, Z. A.
  • Rasool, Faisal
  • Abidi, Ishfaq
  • Nisar, Fouzea
  • Kumar, Anil

Abstract

A crop simulation model is a computerized program which is used to describe the process of growth and developmental stages of crop in relation to weather data, crop conditions and soil conditions to solve the real-world problems. Crop simulation models plays an important role in decision making process as these models can save time and resources. The prediction accuracy of simulation models is one of the most vital components in decision making process. Our review shows the prediction accuracy and efficiency of the simulation models like DSSAT and APSIM. We have compared the prediction accuracy of these models on various growth and development stages of crops along with yield prediction. Both the models have performed well while predicting various growth and developmental stages of crops. The present scenario of traditional research is site-specific, Resource consuming and time consuming. Hence the information obtained through traditional research by qualitative analysis has many limitations, Because of changing climate and weather parameters there is a need for computerized based statistical tool which can provide decision support system for more than 10-15 years. By this we strongly believe that Crop simulation models can be a vital tool in future agricultural research and climate change mitigation strategies.

Suggested Citation

  • Fayaz, Asma & Kumar, Y. Rajit & Lone, Bilal Ahmad & Kumar, Sandeep & Dar, Z. A. & Rasool, Faisal & Abidi, Ishfaq & Nisar, Fouzea & Kumar, Anil, 2021. "Crop Simulation Models: A Tool for Future Agricultural Research and Climate Change," Asian Journal of Agricultural Extension, Economics & Sociology, Asian Journal of Agricultural Extension, Economics & Sociology, vol. 39(6).
    • Handle: RePEc:ags:ajaees:358025
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    File URL: https://ageconsearch.umn.edu/record/358025/files/sciencedomain%2C%2BLone3962021AJAEES69888.pdf
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    References listed on IDEAS

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    1. Park, S.J. & Hwang, C.S. & Vlek, P.L.G., 2005. "Comparison of adaptive techniques to predict crop yield response under varying soil and land management conditions," Agricultural Systems, Elsevier, vol. 85(1), pages 59-81, July.
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