UAV

Mohammed Alwagait

Ph.D. Student, Electrical and Computer Engineering

UAV adaptive control Reinforcement Learning Aerial Robotics

Mohammed is a PhD Student in the Electrical and Computer Engineering program (ECE) at KAUST. He focuses on Reinforcement Learning Based Energy Saving Path Planning and Control for UAVs.

Flying LoRA IoT Gateway for Agricultural Applications

Prof. Samsuzana Abd Aziz, Department of Biological and Agricultural Engineering, Universiti Putra Malaysia

May 9, 09:00 - 09:30

B18 Fellowship Hall

Featured Sessions

UAV LoRAWAN IoT flying getaway smart agriculture

Abstract Low-Power Wide Area Network (LPWAN) technologies like LoRa have become prominent for IoT deployments in large agricultural areas due to their low-power and long-range transmission. However, data transmission in large farms with diverse landscapes suffers from obstructions or occlusions, and wired gateways are still difficult to cover the whole agricultural areas without proper network or power infrastructures. This study integrates LoRa gateways with a flying drone to enhance the connectivity to sensor nodes deployed in an oil palm plantation. The LoRa gateway was mounted on a multi