Estimation of Above-Ground Biomass of Winter Wheat Based on Consumer-Grade Multi-Spectral UAV

One of the problems of optical remote sensing of crop above-ground biomass (AGB) is that vegetation indices (VIs) often saturate from the middle to late growth stages. This study focuses on combining VIs acquired by a consumer-grade multiple-spectral UAV and machine learning regression techniques to...

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Egile Nagusiak:	Falv Wang, Mao Yang, Longfei Ma, Tong Zhang, Weilong Qin, Wei Li, Yinghua Zhang, Zhencai Sun, Zhimin Wang, Fei Li, Kang Yu
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2022-03-01
Saila:	Remote Sensing
Gaiak:	unmanned aerial vehicle winter wheat biomass vegetation indices machine learning random forest regression partial least squares regression
Sarrera elektronikoa:	https://www.mdpi.com/2072-4292/14/5/1251
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!