Enhancing irrigation management: Unsupervised machine learning coupled with geophysical and multispectral data for informed decision-making in rice production
Integrating diverse data sources for site-specific management zones (SSMZ) in precision agriculture is a complex task. Soil surveys using apparent electrical conductivity (ECa) have proven effective in capturing field variability. However, relying solely on one sensing data type may not fully ca...
| Main Authors: | , , , , , , |
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| Format: | article |
| Language: | Inglés |
| Published: |
Elsevier
2025
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| Subjects: | |
| Online Access: | https://www-sciencedirect-com.recursos.agrosavia.co/science/article/pii/S2772375524002405?via%3Dihub http://hdl.handle.net/20.500.12324/41165 https://doi.org/10.1016/j.atech.2024.100635 |