Progress in active infrared imaging for defect detection in the renewable and electronic industries

X Zhao, Y Zhao, S Hu, H Wang, Y Zhang, W Ming - Sensors, 2023 - mdpi.com
In recent years, infrared thermographic (IRT) technology has experienced notable
advancements and found widespread applications in various fields, such as renewable …

Challenges and opportunities in quantitative aerial thermography of building envelopes

M Mahmoodzadeh, V Gretka… - Journal of Building …, 2023 - Elsevier
The use of small unmanned aerial vehicles (UAVs) equipped with an infrared (IR) camera
has created opportunities for qualitative and quantitative thermal assessments of building …

[HTML][HTML] UAV-based multispectral and thermal cameras to predict soil water content–A machine learning approach

L Bertalan, I Holb, A Pataki, G Négyesi, G Szabó… - … and Electronics in …, 2022 - Elsevier
Soil water content (SWC) estimation is a crucial issue of agricultural production, and its
mapping is an important task. We aimed to study the efficacy of UAV-based thermal (TH) and …

Scaling effects on chlorophyll content estimations with RGB camera mounted on a UAV platform using machine-learning methods

Y Guo, G Yin, H Sun, H Wang, S Chen, J Senthilnath… - Sensors, 2020 - mdpi.com
Timely monitoring and precise estimation of the leaf chlorophyll contents of maize are crucial
for agricultural practices. The scale effects are very important as the calculated vegetation …

Modified red blue vegetation index for chlorophyll estimation and yield prediction of maize from visible images captured by UAV

Y Guo, H Wang, Z Wu, S Wang, H Sun, J Senthilnath… - Sensors, 2020 - mdpi.com
The vegetation index (VI) has been successfully used to monitor the growth and to predict
the yield of agricultural crops. In this paper, a long-term observation was conducted for the …

Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an unmanned …

K Brewer, A Clulow, M Sibanda, S Gokool, J Odindi… - Drones, 2022 - mdpi.com
Climatic variability and extreme weather events impact agricultural production, especially in
sub-Saharan smallholder cropping systems, which are commonly rainfed. Hence, the …

Fault detection and diagnosis in photovoltaic panels by radiometric sensors embedded in unmanned aerial vehicles

I Segovia Ramirez, B Das… - Progress in …, 2022 - Wiley Online Library
Photovoltaic solar energy is increasing its capacity in the global electric market due to its
lower operating costs and higher efficiency, together with the support of the governments …

Removing temperature drift and temporal variation in thermal infrared images of a UAV uncooled thermal infrared imager

Z Wang, J Zhou, J Ma, Y Wang, S Liu, L Ding… - ISPRS Journal of …, 2023 - Elsevier
A thermal infrared (TIR) imager mounted on an unmanned aerial vehicle (UAV) has been
widely used to obtain land surface temperature (LST) at very high-spatial resolutions. The …

Factors influencing temperature measurements from miniaturized thermal infrared (Tir) cameras: A laboratory-based approach

Q Wan, B Brede, M Smigaj, L Kooistra - Sensors, 2021 - mdpi.com
The workflow for estimating the temperature in agricultural fields from multiple sensors
needs to be optimized upon testing each type of sensor's actual user performance. In this …

Evaluation of UAV-derived multimodal remote sensing data for biomass prediction and drought tolerance assessment in bioenergy sorghum

J Li, DP Schachtman, CF Creech, L Wang, Y Ge, Y Shi - The Crop Journal, 2022 - Elsevier
Screening for drought tolerance is critical to ensure high biomass production of bioenergy
sorghum in arid or semi-arid environments. The bottleneck in drought tolerance selection is …