Modular robotic platform for precision agriculture

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dc.contributor.authorREFAS, Yassine Maachou
dc.date.accessioned2025-09-11T09:31:39Z
dc.date.available2025-09-11T09:31:39Z
dc.date.issued2024-12-19
dc.description.abstractThis thesis focuses on the development of a modular robotic platform designed to enhance precision agriculture, specifically targeting crop row detection and management. The research investigates the design and implementation of an autonomous movement system that utilizes the YOLOv8 model for accurate crop row detection. The platform integrates advanced machine learning algorithms and robotics to improve operational efficiency in agricultural practices. Key performance metrics, including precision and recall, were evaluated to assess the effectiveness of the system in real-world agricultural settings. The results indicate significant improvements in crop detection capabilities, demonstrating the potential of modular robotics to address current challenges in precision agriculture.
dc.identifier.urihttp://dspace.ensa.dz/handle/123456789/3931
dc.language.isoen
dc.subjectModular robotic platform
dc.subjectPrecision agriculture
dc.subjectAutonomous movement system
dc.subjectCrop row detection
dc.subjectAgricultural robot
dc.titleModular robotic platform for precision agriculture
dc.title.alternativePlateforme robotique modulaire pour l’agriculture de précision
dc.typeThesis

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Département Génie Rural