Advances in Remote Sensing

Vol.5 No.2(2016), Paper ID 67130, 10 pages

DOI:10.4236/ars.2016.52008

 

A Novel Approach for Sugarcane Yield Prediction Using Landsat Time Series Imagery: A Case Study on Bundaberg Region

 

Muhammad Moshiur Rahman, Andrew J. Robson

 

Precision Agriculture Research Group, School of Science and Technology, University of New England, Armidale, Australia
Precision Agriculture Research Group, School of Science and Technology, University of New England, Armidale, Australia

 

Copyright © 2016 Muhammad Moshiur Rahman, Andrew J. Robson 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.

 

How to Cite this Article


Rahman, M. and J. Robson, A. (2016) A Novel Approach for Sugarcane Yield Prediction Using Landsat Time Series Imagery: A Case Study on Bundaberg Region. Advances in Remote Sensing, 5, 93-102. doi: 10.4236/ars.2016.52008.

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