Sugarcane Mapping and Harvest Monitoring using ML and Google Earth Engine
The increasing global population intensifies the pressure on food production, necessitating optimized agricultural practices. This study explores the potential of remote sensing and machine learning to enhance sugarcane identification, mapping, and harvest monitoring in Dera Ismail Khan, Pakistan. E...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/120/e3sconf_gi2024_03004.pdf |
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