Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation

Crop leaf chlorophyll content (LCC) and fractional vegetation cover (FVC) are crucial indicators for assessing crop health, growth development, and maturity. In contrast to the traditional manual collection of crop trait parameters, unmanned aerial vehicle (UAV) technology rapidly generates LCC and...

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Detalhes bibliográficos

Principais autores:	Jingyu Hu, Hao Feng, Qilei Wang, Jianing Shen, Jian Wang, Yang Liu, Haikuan Feng, Hao Yang, Wei Guo, Hongbo Qiao, Qinglin Niu, Jibo Yue
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-02-01
coleção:	Remote Sensing
Assuntos:	unmanned aerial vehicle crop leaf chlorophyll content fractional vegetation cover maturity deep learning ensemble learning
Acesso em linha:	https://www.mdpi.com/2072-4292/16/5/784
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