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Remote sensing: A technology for assessment of sugarcane crop acreage and yield

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Abstract

A study was conducted for identification and acreage estimation of sugarcane crop in KCP Sugar factory zones of Vuyyuru and Lakshmipuram using satellite remote sensing data during cane seasons of 1997 to 2000. The satellite data was analyzed using supervised classification techniques for acreage estimation and Normalized Difference Vegetation Index (NDVI) was employed for condition assessment and yield estimation. The acreage estimation was made possible after 100 days of planting of sugarcane and the cane crop is identifiable on satellite data after April month in the state of Andhra Pradesh. The relationship between yields of sugarcane with NDVI shown a positive correlation with correlation coefficient of 0.84. However, these relationships needs to be developed for each factory-wise in order to represent the local soil, climatic and biotic factors.

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References

  • Idso, S. B., Pinter, P. J. andReginato, R. J. (1984). Estimation of crop grain yields by Remote Sensing of crop senescence rates.Remote Sensing of Environment,9: 87–91.

    Article  Google Scholar 

  • Misra, S. R. andShrivastava, A. K. (1998). Sugarcane research in the Post-Independence era.Indian Journal of Agricultural Sciences,68: 465–473.

    Google Scholar 

  • Potdar. M. B. (1990). Analyses of sorghum yield dependence on crop growth characteristics using NOAA-AVHRR data.Photonirvachak,18 (1&2): 1–7.

    Google Scholar 

  • Price, J. C. (1992). Variability of high resolution crop reflectance spectra.International Journal of Remote Sensing. 13(14): 2593–2610.

    Article  Google Scholar 

  • Tucker, C. J. (1979). Red and photographic infrared linear combinations for monitoring vegetation.Remote Sensing of Environment,8: 127–135.

    Article  Google Scholar 

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Authors and Affiliations

  1. Dept. of Space, National Remote Sensing Agency, Balanagar, Hyderabad 500 037, A.P., India

    P. V. Krishna Rao & L. Venkataratnam

  2. KCP Sugar and Industries Corporation Ltd., Vuyyuru, Krishna District, A.P.

    V. Venkateswara Rao

Authors
  1. P. V. Krishna Rao
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  2. V. Venkateswara Rao
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  3. L. Venkataratnam
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Correspondence to P. V. Krishna Rao.

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Rao, P.V.K., Rao, V.V. & Venkataratnam, L. Remote sensing: A technology for assessment of sugarcane crop acreage and yield. Sugar Tech 4, 97–101 (2002). https://doi.org/10.1007/BF02942689

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  • DOI: https://doi.org/10.1007/BF02942689

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