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volume 28 issue 3 (september 2007) : 229-234

INTERFACING CROP SIMULATION MODELS WITH GIS FOR YIELD ESTIMATION - A REVIEW

B
Baby Akula
R
Ramesh Thatikunta
1College of Agriculture, ANGRAU, Hyderabad-500 030

  • Submitted|

  • First Online |

  • doi

Cite article:- Akula Baby, Thatikunta Ramesh (2025). INTERFACING CROP SIMULATION MODELS WITH GIS FOR YIELD ESTIMATION - A REVIEW. Agricultural Reviews. 28(3): 229-234. doi: .

ABSTRACT

Crop simulation models are valuable tools to researchers to help them to understand the influence of climatic variables on crop productivity. The model estimated yields are handy to the agencies in government, trade and industry for planning about distribution, storage, processing, export or import of crop produce. Yield estimates by the models are also useful in taking timely policy decisions on fixing levy prices, because the estimates of the yield are available well in advance of the actual harvesting of the crop. Simulation models also provide global edge to the farmers and researchers since they are objective, fast and cost effective. The scope of applicability of these simulation models can be extended to much broader scales for regional planning and policy analysis by combining their capabilities with a Geographic Information System (GIS).

KEYWORDS

    REFERENCES

    1. Aggarwal, P.K. (1993). In: Systems Approaches for Agricultural Development, Vol. 2. Penning de Vries F.W. T. et al.
    2. eds.), Kluwer Academic Publishers, The Netherlands. pp97-109.
    3. Aggarwal, P.K. et al. (1998). In : Exchange of Methodologies in land use Planning, (Roetter. R. et al . eds.), IRRI, Philippines, pp.59-65.
    4. Aggarwal, P.K. et al (1994). Field Crops Res., 38: 73-91.
    5. Alagarswamy, G. and Ritchie, J.T. (1989). In : Predicting Crop Phenology (Hodges., T. eds.) CRC Press, USA.
    6. Arkin, F.G. et al. (1976). Trans, ASAE, 19: 622-630.
    7. Baby Akula (2003). Ph.D thesis, Anand Agricultural University, Gujarat.
    8. Baier, W. (1981). In: Applications of Remote Sensing to Agricultural Production Forecasting (Berg, A. eds.), Joint Res.
    9. Centre: ISPRA, Italy, pp.105-118.
    10. Boote, K.J. et al. (1996). Agron. J., 88 : 704-716.
    11. Boote, K.J. et al. (1989). User’s Guide, Florida Agric. Experiment J. No. 8420, University of Florida, USA.
    12. Bouman, B.A.M. et al . (1996). Agric. Sys., 52: 185 –198.
    13. Bryant, K.J. and Lacewell, R.D. (1989).In: Proceedings of the Summer Computer Simulation Conference .San Diego, USA. pp 732-737.
    14. Burrough, P.A. (1996). In: Models in Action, Quantitative Approaches in Sys. Analysis no. 6 , (Stein, A. et al. eds.), The
    15. Netherlands. pp 56-59.
    16. Calixte, J.P. et al.(1992). Agrotech. Transfer, 15: 1-7.
    17. Curry, R.B. et al . (1975). Trans ASAE, 18 : 963-968.
    18. de Wit, C.T. (1978). Simulation Monographs, Wageningen, The Netherlands, pp.140.
    19. Engel, T. et al. (1997). Agron. J., 89: 919-928.
    20. Han, S. et al . (1995). J. Environ.l Qual., 24: 772-777.
    21. Hartkamp, D.A. et al (1999). Agron. J., 91: 761-772.
    22. Hijmans,R.J. et al.(1994).TechnicalDocument 12, Wageningen, The Netherlands , pp.146
    23. Hodges, T. et al. (1992). Agron. J., 84: 911-915.
    24. Hoogenboom, G. et al . (1994). Agron. J., 86: 182-190.
    25. Horie, T. (1987). Southeast Asian Studies , 25: 62-74.
    26. Ines, A.V. M. et al. (2002). Agric. Water Mgmt. , 54: 205-225.
    27. Jamieson, P.D. et al . (1991). Field Crops Res., 27: 337-350.
    28. Jones, J.W. (1993). In: Systems Approaches for Agricultural Development, ( Penning de Vries, F.W.T. et al. eds.) Kluwer
    29. Academic Publishers, The Netherlands, pp.459-471.
    30. Jones, C.A. and Kiniry, J.R. (1986).In: CERES – Maize : A Simulation Model of Maize Growth and Development. A&M
    31. University Press, Texas, USA.
    32. Jones, C.A. et al. (1987). Agric. Environ. Characterization, Classification and Mapping pp.199-209.
    33. Jones, C.A. et al. (1989). In: Technical Paper No. 29 : Division of Tropical Crops and Pastures, CSIRO, Australia.
    34. Keating, B.A. et al. (2001). In: Trop Agric. Tech. Memo 9. CSIRO, Australia.
    35. Kropff, M.J. et al. (1994). In: SARP Res. Proceedings. IRRI, Philippines, pp.110.
    36. Lal, H. et al. (1993). Trans ASAE, 36: 175-184. 234 AGRICUTURAL REVIEWS
    37. McCown, R.L. et al. (1996). Agric. Sys., 50: 255-271.
    38. Monteith, J. L. (1996). Agron. J. 88: 695-697.
    39. Parton, W.J. et al. (1993). Global Biogeochem Cycles, 7: 785-809.
    40. Penning de Vries, F.W.T. and van Laar, H.H. (1982). Simulation Monographs, Wageningen, The Netherlands, pp.308.
    41. Petersen, G.W. et al. (1995). Adv Agron. 55 : 67-71.
    42. Rao, B.B. et al . (1999).In: Proc National Workshop on Dynamic Crop Simulation Modelling for Agrometeorological
    43. Advisory Services, New Delhi, pp 147-155.
    44. Rao, T.R. (1992). Ph.D. thesis I A R I, New Delhi.
    45. Ritchie, J. T. and Alagarswamy, G. (1989). In: Modelling the Growth and Development of Sorghum and Pearlmillet, (
    46. Virmani, S.M. et al. eds.), ICRISAT, Patancheru, pp.24-26.
    47. Ritchie, J.T. (1991). In: Climatic Risks in Crop Production : Models and Management for the Semi-arid Tropics and Subtropics
    48. (Muchow, R.C. and Bellamy, J.A. eds.), CAB International, UK. pp.97-122.
    49. Ritchie, J.T. et al . (1986). In: Proc the Workshop on the Impact of Weather Parameters on Growth and Yield of Rice, Philippines.
    50. Ritchie, J.T. et al. (1985). CERES-Wheat : A Simulation Model of Wheat Growth and Development : Texas A & M
    51. University Press, USA.
    52. Ritchie, J.T. et al. (1989). In: Final Progress Report, United States Department of Agriculture, USA.
    53. Robertson, M.J. et al. (2001). Field Crops Res., 71 : 195-210.
    54. Sehgal, V.K. (2000).. Ph.D Thesis, IARI, New Delhi.
    55. Singh, P. and Virmani, S.M. (1996). Field Crops Res., 46: 41-59.
    56. Sudduth, K.A. et al.(1998). In: Proc. First International Conference on Geospatial Information in Agriculture and Forestry, Vol II. Lake Buena.
    57. Tim, U.S. (1996). J. of Envirnl. Qual., 25: 535-544.
    58. van Keulen, H. (1982). In: Simulation of Plant Growth and Crop Production. ( Penning de Vries, F.W.T and H.H. van Laar, H.H. eds.), PUDOC, Wageningen, Netherlands. pp.234-251,
    59. van Keulen, H. and Seligman, N.G. (1987). In: Simulation Monographs. PUDOC, Wageningen, Netherlands, pp.310.
    60. van Laanen, H.A. et al. (1992). Agric. Sys., 39: 307-328.
    61. Weir, A.H. et al. (1984). J. of Agric. Sci. Camb., 103: 371-382.
    62. Wilkerson, G.G. et al. (1983). Trans. ASAE, 26: 63-73.
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      volume 28 issue 3 (september 2007) : 229-234

      INTERFACING CROP SIMULATION MODELS WITH GIS FOR YIELD ESTIMATION - A REVIEW

      B
      Baby Akula
      R
      Ramesh Thatikunta
      1College of Agriculture, ANGRAU, Hyderabad-500 030

      • Submitted|

      • First Online |

      • doi

      Cite article:- Akula Baby, Thatikunta Ramesh (2025). INTERFACING CROP SIMULATION MODELS WITH GIS FOR YIELD ESTIMATION - A REVIEW. Agricultural Reviews. 28(3): 229-234. doi: .

      ABSTRACT

      Crop simulation models are valuable tools to researchers to help them to understand the influence of climatic variables on crop productivity. The model estimated yields are handy to the agencies in government, trade and industry for planning about distribution, storage, processing, export or import of crop produce. Yield estimates by the models are also useful in taking timely policy decisions on fixing levy prices, because the estimates of the yield are available well in advance of the actual harvesting of the crop. Simulation models also provide global edge to the farmers and researchers since they are objective, fast and cost effective. The scope of applicability of these simulation models can be extended to much broader scales for regional planning and policy analysis by combining their capabilities with a Geographic Information System (GIS).

      KEYWORDS

        REFERENCES

        1. Aggarwal, P.K. (1993). In: Systems Approaches for Agricultural Development, Vol. 2. Penning de Vries F.W. T. et al.
        2. eds.), Kluwer Academic Publishers, The Netherlands. pp97-109.
        3. Aggarwal, P.K. et al. (1998). In : Exchange of Methodologies in land use Planning, (Roetter. R. et al . eds.), IRRI, Philippines, pp.59-65.
        4. Aggarwal, P.K. et al (1994). Field Crops Res., 38: 73-91.
        5. Alagarswamy, G. and Ritchie, J.T. (1989). In : Predicting Crop Phenology (Hodges., T. eds.) CRC Press, USA.
        6. Arkin, F.G. et al. (1976). Trans, ASAE, 19: 622-630.
        7. Baby Akula (2003). Ph.D thesis, Anand Agricultural University, Gujarat.
        8. Baier, W. (1981). In: Applications of Remote Sensing to Agricultural Production Forecasting (Berg, A. eds.), Joint Res.
        9. Centre: ISPRA, Italy, pp.105-118.
        10. Boote, K.J. et al. (1996). Agron. J., 88 : 704-716.
        11. Boote, K.J. et al. (1989). User’s Guide, Florida Agric. Experiment J. No. 8420, University of Florida, USA.
        12. Bouman, B.A.M. et al . (1996). Agric. Sys., 52: 185 –198.
        13. Bryant, K.J. and Lacewell, R.D. (1989).In: Proceedings of the Summer Computer Simulation Conference .San Diego, USA. pp 732-737.
        14. Burrough, P.A. (1996). In: Models in Action, Quantitative Approaches in Sys. Analysis no. 6 , (Stein, A. et al. eds.), The
        15. Netherlands. pp 56-59.
        16. Calixte, J.P. et al.(1992). Agrotech. Transfer, 15: 1-7.
        17. Curry, R.B. et al . (1975). Trans ASAE, 18 : 963-968.
        18. de Wit, C.T. (1978). Simulation Monographs, Wageningen, The Netherlands, pp.140.
        19. Engel, T. et al. (1997). Agron. J., 89: 919-928.
        20. Han, S. et al . (1995). J. Environ.l Qual., 24: 772-777.
        21. Hartkamp, D.A. et al (1999). Agron. J., 91: 761-772.
        22. Hijmans,R.J. et al.(1994).TechnicalDocument 12, Wageningen, The Netherlands , pp.146
        23. Hodges, T. et al. (1992). Agron. J., 84: 911-915.
        24. Hoogenboom, G. et al . (1994). Agron. J., 86: 182-190.
        25. Horie, T. (1987). Southeast Asian Studies , 25: 62-74.
        26. Ines, A.V. M. et al. (2002). Agric. Water Mgmt. , 54: 205-225.
        27. Jamieson, P.D. et al . (1991). Field Crops Res., 27: 337-350.
        28. Jones, J.W. (1993). In: Systems Approaches for Agricultural Development, ( Penning de Vries, F.W.T. et al. eds.) Kluwer
        29. Academic Publishers, The Netherlands, pp.459-471.
        30. Jones, C.A. and Kiniry, J.R. (1986).In: CERES – Maize : A Simulation Model of Maize Growth and Development. A&M
        31. University Press, Texas, USA.
        32. Jones, C.A. et al. (1987). Agric. Environ. Characterization, Classification and Mapping pp.199-209.
        33. Jones, C.A. et al. (1989). In: Technical Paper No. 29 : Division of Tropical Crops and Pastures, CSIRO, Australia.
        34. Keating, B.A. et al. (2001). In: Trop Agric. Tech. Memo 9. CSIRO, Australia.
        35. Kropff, M.J. et al. (1994). In: SARP Res. Proceedings. IRRI, Philippines, pp.110.
        36. Lal, H. et al. (1993). Trans ASAE, 36: 175-184. 234 AGRICUTURAL REVIEWS
        37. McCown, R.L. et al. (1996). Agric. Sys., 50: 255-271.
        38. Monteith, J. L. (1996). Agron. J. 88: 695-697.
        39. Parton, W.J. et al. (1993). Global Biogeochem Cycles, 7: 785-809.
        40. Penning de Vries, F.W.T. and van Laar, H.H. (1982). Simulation Monographs, Wageningen, The Netherlands, pp.308.
        41. Petersen, G.W. et al. (1995). Adv Agron. 55 : 67-71.
        42. Rao, B.B. et al . (1999).In: Proc National Workshop on Dynamic Crop Simulation Modelling for Agrometeorological
        43. Advisory Services, New Delhi, pp 147-155.
        44. Rao, T.R. (1992). Ph.D. thesis I A R I, New Delhi.
        45. Ritchie, J. T. and Alagarswamy, G. (1989). In: Modelling the Growth and Development of Sorghum and Pearlmillet, (
        46. Virmani, S.M. et al. eds.), ICRISAT, Patancheru, pp.24-26.
        47. Ritchie, J.T. (1991). In: Climatic Risks in Crop Production : Models and Management for the Semi-arid Tropics and Subtropics
        48. (Muchow, R.C. and Bellamy, J.A. eds.), CAB International, UK. pp.97-122.
        49. Ritchie, J.T. et al . (1986). In: Proc the Workshop on the Impact of Weather Parameters on Growth and Yield of Rice, Philippines.
        50. Ritchie, J.T. et al. (1985). CERES-Wheat : A Simulation Model of Wheat Growth and Development : Texas A & M
        51. University Press, USA.
        52. Ritchie, J.T. et al. (1989). In: Final Progress Report, United States Department of Agriculture, USA.
        53. Robertson, M.J. et al. (2001). Field Crops Res., 71 : 195-210.
        54. Sehgal, V.K. (2000).. Ph.D Thesis, IARI, New Delhi.
        55. Singh, P. and Virmani, S.M. (1996). Field Crops Res., 46: 41-59.
        56. Sudduth, K.A. et al.(1998). In: Proc. First International Conference on Geospatial Information in Agriculture and Forestry, Vol II. Lake Buena.
        57. Tim, U.S. (1996). J. of Envirnl. Qual., 25: 535-544.
        58. van Keulen, H. (1982). In: Simulation of Plant Growth and Crop Production. ( Penning de Vries, F.W.T and H.H. van Laar, H.H. eds.), PUDOC, Wageningen, Netherlands. pp.234-251,
        59. van Keulen, H. and Seligman, N.G. (1987). In: Simulation Monographs. PUDOC, Wageningen, Netherlands, pp.310.
        60. van Laanen, H.A. et al. (1992). Agric. Sys., 39: 307-328.
        61. Weir, A.H. et al. (1984). J. of Agric. Sci. Camb., 103: 371-382.
        62. Wilkerson, G.G. et al. (1983). Trans. ASAE, 26: 63-73.
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