American Journal of Plant Sciences

Vol.8 No.12(2017), Paper ID 80710, 13 pages

DOI:10.4236/ajps.2017.812219

 

Employing Canopy Hyperspectral Narrowband Data and Random Forest Algorithm to Differentiate Palmer Amaranth from Colored Cotton

 

Reginald S. Fletcher, Rickie B. Turley

 

Crop Production Systems Research Unit, Agricultural Research Service, United States Department of Agriculture, Stoneville, USA
Crop Genetics Research Unit, Agricultural Research Service, United States Department of Agriculture, Stoneville, USA

 

Copyright © 2017 Reginald S. Fletcher, Rickie B. Turley 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


Fletcher, R. and Turley, R. (2017) Employing Canopy Hyperspectral Narrowband Data and Random Forest Algorithm to Differentiate Palmer Amaranth from Colored Cotton. American Journal of Plant Sciences, 8, 3258-3271. doi: 10.4236/ajps.2017.812219.

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.