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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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| Опубликовано в: : | PeerJ |
|---|---|
| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
PeerJ Inc.
2019
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| Предметы: | |
| Online-ссылка: | 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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