A survey on edge performance benchmarking

B Varghese, N Wang, D Bermbach, CH Hong… - ACM Computing …, 2021 - dl.acm.org
Edge computing is the next Internet frontier that will leverage computing resources located
near users, sensors, and data stores to provide more responsive services. Therefore, it is …

[HTML][HTML] Adaptive autonomous UAV scouting for rice lodging assessment using edge computing with deep learning EDANet

MD Yang, JG Boubin, HP Tsai, HH Tseng… - … and Electronics in …, 2020 - Elsevier
Rice is a globally important crop that will continue to play an essential role in feeding our
world as we grapple with climate change and population growth. Lodging is a primary threat …

[HTML][HTML] Real-time identification of rice weeds by UAV low-altitude remote sensing based on improved semantic segmentation model

Y Lan, K Huang, C Yang, L Lei, J Ye, J Zhang, W Zeng… - Remote Sensing, 2021 - mdpi.com
Real-time analysis of UAV low-altitude remote sensing images at airborne terminals
facilitates the timely monitoring of weeds in the farmland. Aiming at the real-time …

Uav swarms in smart agriculture: Experiences and opportunities

C Qu, J Boubin, D Gafurov, J Zhou… - 2022 IEEE 18th …, 2022 - ieeexplore.ieee.org
Smart agriculture benefits from unmanned aerial vehicles (UAV), and in-field sensors to
collect data used to make responsible crop management decisions which sustainably …

Whole-field reinforcement learning: A fully autonomous aerial scouting method for precision agriculture

Z Zhang, J Boubin, C Stewart, S Khanal - Sensors, 2020 - mdpi.com
Unmanned aerial systems (UAS) are increasingly used in precision agriculture to collect
crop health related data. UAS can capture data more often and more cost-effectively than …

Energy efficient edge computing enabled by satisfaction games and approximate computing

N Irtija, I Anagnostopoulos, G Zervakis… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this paper, we introduce an energy efficient edge computing solution to collaboratively
utilize Multi-access Edge Computing (MEC) and Fully Autonomous Aerial Systems (FAAS) to …

A novel path planning optimization algorithm based on particle swarm optimization for UAVs for bird monitoring and repelling

R Mesquita, PD Gaspar - Processes, 2021 - mdpi.com
Bird damage to fruit crops causes significant monetary losses to farmers annually. The
application of traditional bird repelling methods such as bird cannons and tree netting …

Marble: Multi-agent reinforcement learning at the edge for digital agriculture

J Boubin, C Burley, P Han, B Li… - 2022 IEEE/ACM 7th …, 2022 - ieeexplore.ieee.org
Digital agriculture, hailed as the fourth great agricultural revolution, employs software-driven
autonomous agents for in-field crop management. Edge computing resources deployed …

RTAL: An edge computing method for real-time rice lodging assessment

R Gao, P Chang, D Chang, X Tian, Y Li, Z Ruan… - … and Electronics in …, 2023 - Elsevier
Rice is a globally important crop that plays an important role in feeding more and more of the
world's population as we cope with climate change and population growth. Rice lodging is …

E3-UAV: An Edge-Based Energy-Efficient Object Detection System for Unmanned Aerial Vehicles

J Suo, X Zhang, W Shi, W Zhou - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Motivated by the advances in deep learning techniques, the application of unmanned aerial
vehicle (UAV)-based object detection has proliferated across a range of fields, including …