An extensive review of hyperspectral image classification and prediction: techniques and challenges

G Tejasree, L Agilandeeswari - Multimedia Tools and Applications, 2024 - Springer
Abstract Hyperspectral Image Processing (HSIP) is an essential technique in remote
sensing. Currently, extensive research is carried out in hyperspectral image processing …

Sharp-to-Broad Band Energy Transfer in Lithium Aluminate and Gallate Phosphors for SWIR LED

YT Tsai, PX Chen, M Kamiński… - ACS Applied Optical …, 2024 - ACS Publications
Short-wave infrared (SWIR) phosphor-converted light-emitting diode (LED) technology holds
promise for advancing broadband light sources. Despite the potential, limited research has …

Verification of exposure to chemical warfare agents through analysis of persistent biomarkers in plants

M de Bruin-Hoegée, L Lamriti, JP Langenberg… - Analytical …, 2023 - pubs.rsc.org
The continuing threats of military conflicts and terrorism may involve the misuse of chemical
weapons. The present study aims to use environmental samples to find evidence of the …

Assessing durum wheat ear and leaf metabolomes in the field through hyperspectral data

O Vergara‐Diaz, T Vatter, SC Kefauver… - The Plant …, 2020 - Wiley Online Library
Hyperspectral techniques are currently used to retrieve information concerning plant
biophysical traits, predominantly targeting pigments, water, and nitrogen‐protein contents …

Plant disease sensing: studying plant-pathogen interactions at scale

KM Gold - Msystems, 2021 - Am Soc Microbiol
Plant disease threatens the environmental and financial sustainability of crop production,
causing $220 billion in annual losses. The dire threat disease poses to modern agriculture …

Extending hyperspectral imaging for plant phenotyping to the UV-range

A Brugger, J Behmann, S Paulus, HG Luigs, MT Kuska… - Remote Sensing, 2019 - mdpi.com
Previous plant phenotyping studies have focused on the visible (VIS, 400–700 nm), near-
infrared (NIR, 700–1000 nm) and short-wave infrared (SWIR, 1000–2500 nm) range. The …

Infrared to Short-Wave Infrared-Emitting Phosphors for Light-Emitting Diode Applications

YT Tsai, YL Huang, CC Lin - ACS Applied Optical Materials, 2023 - ACS Publications
In the past decade, near-infrared (NIR) materials have been developed for sensor
applications. NIR light-emitting diodes (LEDs) facilitate roadside high-accuracy light …

[HTML][HTML] Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: A comparison of machine learning tools and feature …

F Salek, SA Mireei, A Hemmat, M Jafari, MR Sabzalian… - Plant Stress, 2024 - Elsevier
Early detection of drought stress is essential for preventing permanent plant damage and
minimizing yield loss. This study utilized hyperspectral imaging at the leaf level to visualize …

Machine learning applied to canopy hyperspectral image data to support biological control of soil-borne fungal diseases in baby leaf vegetables

C Pane, G Manganiello, N Nicastro, L Ortenzi… - Biological Control, 2021 - Elsevier
Baby leaf vegetables constitute a significant segment of the convenience fresh food market.
Due to cultivation conditions under plastic tunnels favourable to pathogen and to restrictions …

Spectral characteristics of the Antarctic vegetation: A case study of Barton Peninsula

J Chi, H Lee, SG Hong, HC Kim - Remote Sensing, 2021 - mdpi.com
Spectral information is a proxy for understanding the characteristics of ground targets
without a potentially disruptive contact. A spectral library is a collection of this information …