Skip to main content
Log in

Rice yield forecast based on satellite and meteorological data

  • Modeling
  • Published:
Russian Agricultural Sciences Aims and scope

Abstract

A methodological approach to forecasting rice yield based on using MODIS satellite data in combination with meteorological information is given. Underlying the approach is modeling the accumulation of rice biomass during growth and development. Rice yield is predicted in the middle of the growing season.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Royer, A., Genovese, G. (Eds.), Methodology of the MARS Crop Yield Forecasting System. Vol. 3. Remote Sensing Data Processing and Analysis, OPOCE, Luxembourg, 2004.

    Google Scholar 

  2. deWit, A., Regional Crop Yield Forecasting Using Probabilistic Crop Growth Modeling and Remote Sensing Data Assimilation, WaY: Wageninger, 2007, p. 155.

    Google Scholar 

  3. Savin, I.Yu. and Barus, B., Operational Monitoring of Rice Crop Areas in Kalmykia on the Basis of MODIS Data, Issled. Zemli Kosmos., 2009, no. 5, pp. 66–74.

  4. Nichiporovich, A.A., Ways to Increase Productivity of Photosynthesis of Plants in Crops, v sb.: Fotosintez i voprosy produktivnosti rastenii (in collection: Photosynthesis and Problems of Plant Productivity), Moscow: Akad. Nauk SSSR, 1963.

    Google Scholar 

  5. Monteith, J.L., Climate and the Efficiency of Crop Production in Britain, Phil. Trans. R. Soc. London, Ser. B. Biol. Sci., 1980, vol. 28, pp. 277–294.

    Google Scholar 

  6. Rosema, A., Verhees, L., van Putten, E., Gielen, H., Lack, T., Wood, J., Lane, A., Fannon, J., Estrela, T., Dimas, M., de Bruin, H., Moene, A., and Meijininger, W., European Energy and Water Balance Monitoring System. EU Final Report, Contract ENV-2001. CT97-0478.

  7. Yin, X., Kropff, M.J., McLaren, G., and Visperas, R.M., A Nonlinear Model for Crop Development as a Function of Temperature, Agr. Forest Meteorol., 1995, vol. 77, pp. 1–16.

    Article  Google Scholar 

  8. Choudhury, B.J., Modeling Radiation- and Carbon-Use Efficiencies of Maize, Sorghum, and Rice, Agr. Forest Meteorol., 2001, vol. 106, pp. 317–330.

    Article  Google Scholar 

  9. Kayumov, M.K., Programmirovanie urozhaev sel’skokhozyaistvennykh kul’tur (Programming Crop Yields), Moscow: Agropromizdat, 1989, p. 320.

    Google Scholar 

  10. Gabron, N., Pinty, B., Taberner, M., Mulin, F., Verstraete, M.M., and Widlawski, J.-L., Monitoring the Photosynthetic Activity of Vegetation from Remote Sensing Data, Adv. Space Res., 2006, vol. 38, pp. 2196–2202.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to I. Yu. Savin.

Additional information

Original Russian Text © I.Yu. Savin, V.A. Isaev, 2010, published in Doklady Rossiiskoi Akademii Sel’skokhozyaistvennykh Nauk, 2010, No. 6, pp. 24–26.

About this article

Cite this article

Savin, I.Y., Isaev, V.A. Rice yield forecast based on satellite and meteorological data. Russ. Agricult. Sci. 36, 424–427 (2010). https://doi.org/10.3103/S1068367410060108

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S1068367410060108

Keywords

Navigation