[HTML][HTML] A technical study on UAV characteristics for precision agriculture applications and associated practical challenges

N Delavarpour, C Koparan, J Nowatzki, S Bajwa… - Remote Sensing, 2021 - mdpi.com
The incorporation of advanced technologies into Unmanned Aerial Vehicles (UAVs)
platforms have enabled many practical applications in Precision Agriculture (PA) over the …

A review on air quality measurement using an unmanned aerial vehicle

V Lambey, AD Prasad - Water, Air, & Soil Pollution, 2021 - Springer
In major cities, air quality is of significant concern because of its negative effect on the health
of the region's living conditions, climate, and economy. Recent studies show the significance …

Explainable Deep Reinforcement Learning for UAV autonomous path planning

L He, N Aouf, B Song - Aerospace science and technology, 2021 - Elsevier
Autonomous navigation in unknown environment is still a hard problem for small Unmanned
Aerial Vehicles (UAVs). Recently, some neural network-based methods are proposed to …

Balanced semisupervised generative adversarial network for damage assessment from low‐data imbalanced‐class regime

Y Gao, P Zhai, KM Mosalam - Computer‐Aided Civil and …, 2021 - Wiley Online Library
In recent years, applying deep learning (DL) to assess structural damages has gained
growing popularity in vision‐based structural health monitoring (SHM). However, both data …

Sensors and systems for air quality assessment monitoring and management: A review

D Singh, M Dahiya, R Kumar, C Nanda - Journal of environmental …, 2021 - Elsevier
Air quality (AQ) is a global concern for human health management. Therefore, air quality
monitoring (AQM) and its management is a must-needed activity for the current world …

[HTML][HTML] Unmanned aerial vehicles for magnetic surveys: A review on platform selection and interference suppression

Y Zheng, S Li, K Xing, X Zhang - Drones, 2021 - mdpi.com
In the past two decades, unmanned aerial vehicles (UAVs) have been used in many
scientific research fields for various applications. In particular, the use of UAVs for magnetic …

Federated learning and autonomous UAVs for hazardous zone detection and AQI prediction in IoT environment

P Chhikara, R Tekchandani, N Kumar… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Air pollution monitoring, finding the hazardous zone, and future air quality predictions have
recently become a significant issue for many researchers. With the adverse effect of low air …

Methods for quantifying methane emissions using unmanned aerial vehicles: A review

JT Shaw, A Shah, H Yong… - … Transactions of the …, 2021 - royalsocietypublishing.org
Methane is an important greenhouse gas, emissions of which have vital consequences for
global climate change. Understanding and quantifying the sources (and sinks) of …

[HTML][HTML] Application of a drone magnetometer system to military mine detection in the demilitarized zone

LS Yoo, JH Lee, YK Lee, SK Jung, Y Choi - Sensors, 2021 - mdpi.com
We propose a magnetometer system fitted on an unmanned aerial vehicle (UAV, or drone)
and a data-processing method for detecting metal antipersonnel landmines (M16) in the …

[HTML][HTML] The Unmanned Systems Research Laboratory (USRL): A new facility for UAV-based atmospheric observations

M Kezoudi, C Keleshis, P Antoniou, G Biskos, M Bronz… - Atmosphere, 2021 - mdpi.com
The Unmanned Systems Research Laboratory (USRL) of the Cyprus Institute is a new
mobile exploratory platform of the EU Research Infrastructure Aerosol, Clouds and Trace …