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The Scientific World Journal
Volume 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 [7 citations]

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 · View at Google Scholar
  • Luca Brunetti, Carlo Alberto Fabbri, Antonio Natale, Marcello Guiducci, Francesco Tei, Paolo Benincasa, Marco Vizzari, Sara Antognelli, Velia Sartoretti, and Gianluca Modeo, “Reliability of ndvi derived by high resolution satellite and uav compared to in-field methods for the evaluation of early crop n status and grain yield in Wheat,” Experimental Agriculture, vol. 54, no. 4, pp. 604–622, 2018. View at Publisher · View at Google Scholar
  • Christian von Hebel, Maria Matveeva, Elizabeth Verweij, Patrick Rademske, Manuela Sarah Kaufmann, Cosimo Brogi, Harry Vereecken, Uwe Rascher, and Jan van der Kruk, “Understanding Soil and Plant Interaction by Combining Ground-Based Quantitative Electromagnetic Induction and Airborne Hyperspectral Data,” Geophysical Research Letters, 2018. View at Publisher · View at Google Scholar
  • Zartash Fatima, Qaiser Abbas, Amna Khan, Sajjad Hussain, Muhammad Ali, Ghulam Abbas, Haseeb Younis, Shahrish Naz, Muhammad Ismail, Muhammad Shahzad, Muhammad Nadeem, Umair Farooq, Shahzad Khan, Kashif Javed, Azhar Khan, Mukhtar Ahmed, Muhammad Khan, and Shakeel Ahmad, “Resource Use Efficiencies of C3 and C4 Cereals under Split Nitrogen Regimes,” Agronomy, vol. 8, no. 5, pp. 69, 2018. View at Publisher · View at Google Scholar
  • Beatriz Moreno-García, Mª Casterad, Mónica Guillén, and Dolores Quílez, “Agronomic and Economic Potential of Vegetation Indices for Rice N Recommendations under Organic and Mineral Fertilization in Mediterranean Regions,” Remote Sensing, vol. 10, no. 12, pp. 1908, 2018. View at Publisher · View at Google Scholar
  • Qingsheng Liu, “A comparative study of different normalized difference vegetation indices from the wide band spectral imager of Tiangong II, China,” Proceedings of SPIE - The International Society for Optical Engineering, vol. 10806, 2018. View at Publisher · View at Google Scholar
  • Khan, Saqib, Qureshi, Habib, Ilyas, Maqsood, Kosar, Akram, and Rahim, “A novel study of the interrelationship of seasonality, satellite data and weed compositional changes of the agro-ecological system of Gujrat, Pakistan,” Applied Ecology and Environmental Research, vol. 16, no. 3, pp. 2995–3018, 2018. View at Publisher · View at Google Scholar