RETRACTED: A Participatory Iterative Mapping Approach and Evaluation of Three Machine Learning Algorithms for Accurate Mapping of Cropping Patterns in a Complex Agro-Ecosystems - Advances in Remote Sensing

ARS > Vol.5 No.1, March 2016

Volume 5, Issue 1 (March 2016)

ISSN Print: 2169-267X ISSN Online: 2169-2688

Google-based Impact Factor: 1.5 Citations

RETRACTED: A Participatory Iterative Mapping Approach and Evaluation of Three Machine Learning Algorithms for Accurate Mapping of Cropping Patterns in a Complex Agro-Ecosystems ()

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DOI: 10.4236/ars.2016.51001 4,909 Downloads 6,423 Views Citations

Author(s)

Gudina Legese Feyisa^1*, Leo Palao¹, Andy Nelson¹, Khin Thawda Win², Kin Nge Htar², Murali Krishna Gumma³, David E. Johnson¹

Affiliation(s)

¹International Rice Research Institute (IRRI), Metro Manila, Philippines.
²International Rice Research Institute (IRRI), Myanmar Office, Nay Pyi Taw, Myanmar.
³International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, India.

ABSTRACT

Short Retraction Notice

This article has been retracted according to COPE's Retraction Guidelines. Since authors have their personal reasons, they have to withdraw this paper from journal Advances in Remote Sensing.

The full retraction notice in PDF is preceding the original paper which is marked "RETRACTED".

KEYWORDS

Accuracy, Agriculture, Classification, MODIS, NDVI, Rice, Time-Series

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