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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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Detaylı Bibliyografya
Asıl Yazarlar: Benjamin Ghansah, Ittipon Khuimphukhieo, Jorge Da Silva, Jose L.Landivar Scott, Oscar Fernández Montero, Jamie Foster, Hua Li, Michael J. Starek, Mahendra Bhandari
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Elsevier 2026-01-01
Seri Bilgileri:Industrial Crops and Products
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Online Erişim:http://www.sciencedirect.com/science/article/pii/S0926669025019430
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