Estimating Leaf Nitrogen Content in Corn Based on Information Fusion of Multiple-Sensor Imagery from UAV

Estimating Leaf Nitrogen Content in Corn Based on Information Fusion of Multiple-Sensor Imagery from UAV

With the rapid development of unmanned aerial vehicle (UAV) and sensor technology, UAVs that can simultaneously carry different sensors have been increasingly used to monitor nitrogen status in crops due to their flexibility and adaptability. This study aimed to explore how to use the image informat...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Xingang Xu, Lingling Fan, Zhenhai Li, Yang Meng, Haikuan Feng, Hao Yang, Bo Xu
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: MDPI AG 2021-01-01
Sarja:Remote Sensing
Aiheet:
RGB
multispectral
coverage adjusted spectral index
vegetation index
vegetation coverage
random frog algorithm
Linkit:https://www.mdpi.com/2072-4292/13/3/340

Internet

https://www.mdpi.com/2072-4292/13/3/340

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