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dc.contributor.author TOUMI, Soumya Soundous
dc.date.accessioned 2025-03-19T09:04:26Z
dc.date.available 2025-03-19T09:04:26Z
dc.date.issued 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.title Advancing Beekeeping: Leveraging AI and Satellite Imagery in Agriculture fr_FR
dc.type Article fr_FR


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