Skip to main content

Comparison of Various Functional Forms for Wheat Crop Yield in Kanpur Nagar (Uttar Pradesh)

  • Conference paper
  • First Online:
  • 697 Accesses

Part of the book series: Water Science and Technology Library ((WSTL,volume 75))

Abstract

The present study aims at finding functional forms for wheat crop yield in an area located in Kanpur Nagar, in terms of monthly NDVI, rainfall and mean temperature. To verify wheat NDVI with the ground truth, a plot of 5 acres is chosen. It has been assumed that yield for this plot is same as that of whole study area. Functional form with all three variables performed the best. Whenever temperature is included as one of the variables, mean absolute percent error is about 7% and 15% in training and testing, respectively. Functional forms are ranked based on their performance. It is concluded that if NDVI data are not complete for the study period, modeled yield has very poor correlation with NDVI. Also, temperature of the first cropping month has the highest sensitivity when temperature is taken as a variable for wheat crop yield modeling.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Lopresti, M.F., Di Bella, C.M., Degioanni, A.J.: Relationship between MODIS-NDVI data and wheat yield: a case study in Northern Buenos Aires province, Argentina. Inf. Process. Agric. 2(2), 73–84 (2015)

    Google Scholar 

  2. Zhang, H., Chena, H., Zhou, G.: The model of wheat yield forecast based on MODIS-NDVI—a case study of Xinxiang. ISPRS Ann. Photogram. Remote Sens. Spatial Inf. Sci. I-7, 25–28 (2012)

    Google Scholar 

  3. Prasad, A.K., Chai, L., Singh, R.P., Kafatos, M.: Crop yield estimation model for Iowa using remote sensing and surface parameters. Int. J. Appl. Earth Obs. Geoinf. 8, 26–33 (2006)

    Article  Google Scholar 

  4. United States Geological Survey. http://earthexplorer.usgs.gov. Accessed 10 July 2016

  5. Sahay, B., Ramana, K.V., Chandrasekar, K., Biswal, A., Sai, M.V.R.S., Rao, S.V.C.K.: In-season assessment of rabi crop progression and condition from multi source data. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XL-8, pp. 929–926 (2014)

    Google Scholar 

  6. Ministry of Agriculture and farmers Welfare. http://aps.dac.gov.in/APY/Public_Report1.aspx. Accessed 15 July 2016

  7. MapsofIndia.com. http://www.mapsofindia.com/distance/kanpur-to-agra.html. Accessed 25 Aug 2016

  8. Wikipedia. https://en.wikipedia.org/wiki/Normalized_Difference_Vegetation_Index. Accessed 15 Aug 2016

  9. Solomatine, D.P., Shrestha, D.L.: A novel method to estimate model uncertainty using machine learning techniques. Water Resour. Res. 45(12) (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alok Gupta .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Gupta, A., Ojha, C.S.P., Kumar, A. (2017). Comparison of Various Functional Forms for Wheat Crop Yield in Kanpur Nagar (Uttar Pradesh). In: Garg, V., Singh, V., Raj, V. (eds) Development of Water Resources in India. Water Science and Technology Library, vol 75. Springer, Cham. https://doi.org/10.1007/978-3-319-55125-8_23

Download citation

Publish with us

Policies and ethics