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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Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Benjamin Ghansah, Ittipon Khuimphukhieo, Jorge Da Silva, Jose L.Landivar Scott, Oscar Fernández Montero, Jamie Foster, Hua Li, Michael J. Starek, Mahendra Bhandari
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Elsevier 2026-01-01
Цуврал:	Industrial Crops and Products
Нөхцлүүд:	Energy cane High throughput phenotyping (HTP) Uncrewed aircraft system (UAS) Light detection and ranging (lidar) Red-green-blue (RGB) Biomass
Онлайн хандалт:	http://www.sciencedirect.com/science/article/pii/S0926669025019430
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!