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The Scientific World Journal
Volume 2014 (2014), Article ID 725326, 8 pages
http://dx.doi.org/10.1155/2014/725326
Research Article

Normalized Difference Vegetation Index as a Tool for Wheat Yield Estimation: A Case Study from Faisalabad, Pakistan

1University College of Agriculture, University of Sargodha, Sargodha 40100, Pakistan
2Agro-Climatology Laboratory, Department of Agronomy, University of Agriculture, Faisalabad 38040, Pakistan
3The Patent Office, Karachi 74400, Pakistan
4Department of Agronomy, Bahauddin Zakariya University, Multan 60800, Pakistan
5Department of Horticulture, Ataturk University, 25240 Erzurum, Turkey
6Department of Crop Science, Faculty of Agriculture, University Putra Malaysia, 43400 Selangor, Malaysia

Received 18 March 2014; Revised 28 May 2014; Accepted 2 June 2014; Published 22 June 2014

Academic Editor: Daniel J. Miralles

Copyright © 2014 Syeda Refat Sultana et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Jessica Rutkoski, Atena Haghighattalab, Jared Crain, Suchismita Mondal, Ravi Prakash Singh, and Jesse Poland, “Application of geographically weighted regression to improve grain yield prediction from unmanned aerial system imagery,” Crop Science, vol. 57, no. 5, pp. 2478–2489, 2017. View at Publisher ยท View at Google Scholar