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Advancing Beekeeping: Leveraging AI and Satellite Imagery in Agriculture
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| dc.contributor.author | TOUMI, Soumya Soundous | |
| dc.contributor.author | Seloua, Haddaoui; Badr Eddine, Miles; Chikhi , Salim | |
| dc.date.accessioned | 2025-03-19T09:04:26Z | |
| dc.date.available | 2025-03-19T09:04:26Z | |
| dc.date.issued | 25/10/2024 | |
| dc.identifier.uri | http://depot.umc.edu.dz/handle/123456789/14563 | |
| dc.description.abstract | The integration of Artificial Intelligence (AI) and satellite imagery in beekeeping presents a transformative approach to hive management and environmental monitoring. This study explores the potential of leveraging AI and satellite data to optimize hive placement, monitor forage availability, and assess environmental conditions crucial to bee health. By utilizing high-resolution satellite imagery and advanced AI algorithms, beekeepers can gain insights into vegetation health, water availability, and other ecological factors influencing bee productivit | fr_FR |
| dc.publisher | Université Frères Mentouri - Constantine 1 | |
| dc.title | Advancing Beekeeping: Leveraging AI and Satellite Imagery in Agriculture | fr_FR |
| dc.type | Article | fr_FR |
