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Estimation of potato canopy leaf water content in various growth stages using UAV hyperspectral remote sensing and machine learning

PaperCitations, authors & open-access status

Estimation of potato canopy leaf water content in various growth stages using UAV hyperspectral remote sensing and machine learning is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 24 citations, 2024 year and gold oa status.

24
Citations
2024
Year
gold
OA Status

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Quan Feng
Author
Frontiers in Plant Science
Journal
Remote Sensing in Agriculture
Topic
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Topic
Spectroscopy and Chemometric Analyses
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