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Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring
Soil moisture content (SMC) is an important factor that affects agricultural development in arid regions. Compared with the space-borne remote sensing system, the unmanned aerial vehicle (UAV) has been widely used because of its stronger controllability and higher resolution. It also provides a more...
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| Udgivet i: | PeerJ |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
PeerJ Inc.
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6501779/ https://ncbi.nlm.nih.gov/pubmed/31110930 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.6926 |
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