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A Markov chain approach to crop yield forecasting

Author

Listed:
  • Matis, J. H.
  • Saito, T.
  • Grant, W. E.
  • Iwig, W. C.
  • Ritchie, J. T.

Abstract

No abstract is available for this item.

Suggested Citation

  • Matis, J. H. & Saito, T. & Grant, W. E. & Iwig, W. C. & Ritchie, J. T., 1985. "A Markov chain approach to crop yield forecasting," Agricultural Systems, Elsevier, vol. 18(3), pages 171-187.
    • Handle: RePEc:eee:agisys:v:18:y:1985:i:3:p:171-187
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    Cited by:

    1. Mikkel Bojesen & Hans Skov-Petersen & Morten Gylling, 2013. "Forecasting the potential of Danish biogas production: spatial representation of Markov chains," IFRO Working Paper 2013/16, University of Copenhagen, Department of Food and Resource Economics.
    2. J. R. Stokes, 2024. "A Markov chain model of crop conditions and intrayear crop yield forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 583-592, April.
    3. Peace Bamurigire & Anthony Vodacek & Andras Valko & Said Rutabayiro Ngoga, 2020. "Simulation of Internet of Things Water Management for Efficient Rice Irrigation in Rwanda," Agriculture, MDPI, vol. 10(10), pages 1-12, September.
    4. Mkhabela, Thulasizwe S., 2004. "Estimates of the increase in milk production due to the introduction of maize silage to a dairy farm in KwaZulu-Natal: A time series approach," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 43(4), pages 1-8, December.
    5. AL-Hiyali, A.D.K & Blaw, Hayder Hameed & Madlul, Najlaa Salah, 2024. "Predicting the Value of Agricultural GDP in Iraq for the Period 2019—2030 by Applying the Markov Transition Matrix," Research on World Agricultural Economy, Nan Yang Academy of Sciences Pte Ltd (NASS), vol. 5(1), March.
    6. GwanSeon Kim & Mehdi Nemati & Steven Buck & Nicholas Pates & Tyler Mark, 2020. "Recovering Forecast Distributions of Crop Composition: Method and Application to Kentucky Agriculture," Sustainability, MDPI, vol. 12(7), pages 1-17, April.

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