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Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing
2020
PLoS ONE
Chlorophyll content is an important indicator of the growth status of japonica rice. The objective of this paper is to develop an inversion model that can predict japonica rice chlorophyll content by using hyperspectral image of rice canopy collected with unmanned aerial vehicle (UAV). UAV-based hyperspectral remote sensing can provide timely and cost-effective monitoring of chlorophyll content over a large region. The study was based on hyperspectral data collected at the Shenyang Agricultural
doi:10.1371/journal.pone.0238530
pmid:32915830
fatcat:rujl3mvbcjaubhxqazoxi5pkmq