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Stacked ensemble machine learning for phenological wheat yield prediction from UAV-RGB and multispectral satellite data

Highly accurate monitoring of crop growth and yield prediction is essential for farm-level field management and ensuring food security. High resolution satellite and unmanned aerial vehicle (UAV) imaging systems offer timely and cost-effective methods of agroecosystem monitoring under changing clima...

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Detalhes bibliográficos
Principais autores: Sana Arshad, Jamil Hasan Kazmi, Saima Shaikh, Pavol Nejedlik, Safwan Mohammed
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2026-05-01
coleção:Journal of Agriculture and Food Research
Assuntos:
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S2666154326001730
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