High throughput phenotyping of energy cane using uncrewed aircraft system (UAS) and machine learning

Accurate estimation of biomass in energy cane is essential for cultivar selection in breeding programs and biomass supply forecasting in bioenergy production. This study evaluated the integration of Uncrewed Aircraft System (UAS) based Light Detection and Ranging (lidar) and Red-Green-Blue Structure...

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Autores principales:	Benjamin Ghansah, Ittipon Khuimphukhieo, Jorge Da Silva, Jose L.Landivar Scott, Oscar Fernández Montero, Jamie Foster, Hua Li, Michael J. Starek, Mahendra Bhandari
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2026-01-01
Colección:	Industrial Crops and Products
Materias:	Energy cane High throughput phenotyping (HTP) Uncrewed aircraft system (UAS) Light detection and ranging (lidar) Red-green-blue (RGB) Biomass
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S0926669025019430
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