Yield prediction models for rice varieties using UAV multispectral imagery in the Amazon lowlands of Peru
Rice is cataloged as one of the most widely cultivated crops globally, providing food for a large proportion of the global population. Integrating Geographic Information Systems (GISs), such as unmanned aerial vehicles (UAVs), into agricultural practices offers numerous benefits. UAVs, equipped with...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | info:eu-repo/semantics/article |
| Language: | Inglés |
| Published: |
MDPI
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/20.500.12955/2561 https://doi.org/10.3390/agriengineering6030170 |
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