Discriminating Pennisetum alopecuoides plants in a grazed pasture from unmanned aerial vehicles using object‐based image analysis and random forest classifier-Reference-Cited by-同舟云学术

Discriminating Pennisetum alopecuoides plants in a grazed pasture from unmanned aerial vehicles using object‐based image analysis and random forest classifier

Published:2020-06-22 Issue:1 Volume:67 Page:73-82
ISSN:1744-6961
Container-title:Grassland Science
language:en
Short-container-title:Grassl Sci

Author:

Yuba Norio¹²,Kawamura Kensuke³^ORCID,Yasuda Taisuke⁴,Lim Jihyun⁵^ORCID,Yoshitoshi Rena⁶,Watanabe Nariyasu⁶,Kurokawa Yuzo⁷,Maeda Teruo⁷

Affiliation:

1. Graduate School for International Development and Cooperation (IDEC) Hiroshima University Higashi‐Hiroshima Japan

2. Forestry Research Center Hiroshima Prefectural Technology Research Institute Higashi‐Hiroshima Japan

3. Japan International Research Center for Agricultural Sciences (JIRCAS) Tsukuba Japan

4. Mount Fuji Research Institute Yamanashi Prefectural Government Fujiyoshida Japan

5. Research Center for Agricultural Information Technology National Agriculture and Food Research Organization (NARO) Tsukuba Japan

6. Western Region Agricultural Research Center National Agriculture and Food Research Organization (NARO) Oda Japan

7. Graduate School of Integrated Sciences for Life Hiroshima University Higashi‐Hiroshima Japan

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/grs.12288

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