GIS-Based Analysis for UAV-Supported Field Experiments Reveals Soybean Traits Associated With Rotational Benefit

Recent advances in unmanned aerial vehicle (UAV) remote sensing and image analysis provide large amounts of plant canopy data, but there is no method to integrate the large imagery datasets with the much smaller manually collected datasets. A simple geographic information system (GIS)-based analysis...

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Detalles Bibliográficos
Autores principales: Fukano, Yuya, Guo, Wei, Aoki, Naohiro, Ootsuka, Shinjiro, Noshita, Koji, Uchida, Kei, Kato, Yoichiro, Sasaki, Kazuhiro, Kamikawa, Shotaka, Kubota, Hirofumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201397/
https://www.ncbi.nlm.nih.gov/pubmed/34135918
http://dx.doi.org/10.3389/fpls.2021.637694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8201397/
https://www.ncbi.nlm.nih.gov/pubmed/34135918
http://dx.doi.org/10.3389/fpls.2021.637694

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