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Titel:

Multi-temporal UAV Imaging-Based Mapping of Chlorophyll Content in Potato Crop

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Yin, Hang; Huang, Weili; Li, Fei; Yang, Haibo; Li, Yuan; Hu, Yuncai; Yu, Kang
Abstract:
Spectral indices based on unmanned aerial vehicle (UAV) multispectral images combined with machine learning algorithms can more effectively assess chlorophyll content in plants, which plays a crucial role in plant nutrition diagnosis, yield estimation and a better understanding of plant and environment interactions. Therefore, the aim of this study was to use UAV-based spectral indices deriving from UAV-based multispectral images as inputs in different machine learning models to predict canopy c...     »
Zeitschriftentitel:
PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science
Jahr:
2022
Volltext / DOI:
doi:10.1007/s41064-022-00218-8
Verlag / Institution:
Springer Science and Business Media LLC
E-ISSN:
2512-27892512-2819
Publikationsdatum:
23.09.2022
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