Term 252
Palmrover+
Project Type: Self-Initiated
Project Description
This robotic, data-driven system offers a powerful solution to the critical challenges currently facing the agricultural sector. By deploying a specialized robot equipped with advanced cameras, the system continuously scans palm trees across the farm and feeds the captured imagery into an AI detection model to pinpoint early signs of infection. Beyond automating labor-intensive inspections, the system's key advantages lie in providing precise, individualized monitoring for every tree, seamless scalability to cover massive plantations, and a unified data platform that centralizes insights for smarter farm management.
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Project Team
Manaf Murtada Alalsayedsalih
ME
Jawad Adballah Alshabib
ICS
Ayman Sami Alharbi
CHE
Ali Adel Alalwan
EE
Hamza Yasir Al Qattan
ME
Ahmed Mohammed Alfaraj
EETeam Coach
DR. Omar Abdelaziz
Assistant ProfessorChemical Engineering Dept.
Department of Chemical Engineering