Fusing UAV multiple data and phenology to predict crop biomass

Robust quantification of crop status in real-time is essential for agile decision-making. While use of unmanned aerial vehicle (UAV) data appears promising in this vein, the contribution and transferability of various features (e.g. vegetation indices, plant height and texture features) in crop abov...

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Principais autores:	Shuaijie Shen, Wenjie Li, Jun Zou, Matthew Tom Harrison, Shouyang Liu, Ehsan Eyshi Rezaei, Ke Liu, Bahareh Kamali, Zechen Wang, Datong Zhang, Axiang Zheng, Fu Chen, Xiaogang Yin
Format:	Artigo
Jezik:	Inglês
Izdano:	Elsevier 2026-03-01
Serija:	Information Processing in Agriculture
Teme:	Biomass Data fusion SHAP value Sensitivity analysis Artificial intelligence Machine learning
Online dostop:	http://www.sciencedirect.com/science/article/pii/S2214317325000460
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