Journal of Geographic Information System

Vol.11 No.3(2019), Paper ID 93069, 16 pages

DOI:10.4236/jgis.2019.113020

 

Mapping and Quantifying White Mold in Soybean across South Dakota Using Landsat Images

 

Confiance Mfuka, Xiaoyang Zhang, Emmanuel Byamukama

 

Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, South Dakota, USA
Geospatial Sciences Center of Excellence, South Dakota State University, Brookings, South Dakota, USA
Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, South Dakota, USA

 

Copyright © 2019 Confiance Mfuka, Xiaoyang Zhang, Emmanuel Byamukama 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


Mfuka, C. , Zhang, X. and Byamukama, E. (2019) Mapping and Quantifying White Mold in Soybean across South Dakota Using Landsat Images. Journal of Geographic Information System, 11, 331-346. doi: 10.4236/jgis.2019.113020.

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