A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications

A Khan, AD Vibhute, S Mali, CH Patil - Ecological Informatics, 2022 - Elsevier
The globe's population is increasing day by day, which causes the severe problem of
organic food for everyone. Farmers are becoming progressively conscious of the need to …

[HTML][HTML] Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review

K Berger, M Machwitz, M Kycko, SC Kefauver… - Remote sensing of …, 2022 - Elsevier
Remote detection and monitoring of the vegetation responses to stress became relevant for
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …

[HTML][HTML] Current and near-term advances in Earth observation for ecological applications

SL Ustin, EM Middleton - Ecological Processes, 2021 - Springer
There is an unprecedented array of new satellite technologies with capabilities for
advancing our understanding of ecological processes and the changing composition of the …

Applications of UAV thermal imagery in precision agriculture: State of the art and future research outlook

G Messina, G Modica - Remote Sensing, 2020 - mdpi.com
Low-altitude remote sensing (RS) using unmanned aerial vehicles (UAVs) is a powerful tool
in precision agriculture (PA). In that context, thermal RS has many potential uses. The …

Past and future of plant stress detection: an overview from remote sensing to positron emission tomography

A Galieni, N D'Ascenzo, F Stagnari… - Frontiers in Plant …, 2021 - frontiersin.org
Plant stress detection is considered one of the most critical areas for the improvement of
crop yield in the compelling worldwide scenario, dictated by both the climate change and the …

YOLOSR-IST: A deep learning method for small target detection in infrared remote sensing images based on super-resolution and YOLO

R Li, Y Shen - Signal Processing, 2023 - Elsevier
Infrared remote sensing imaging has a wide range of military and civilian applications. The
detection of dim small targets is one of the most valuable research topics in this field …

Classification of skin cancer using novel hyperspectral imaging engineering via YOLOv5

HY Huang, YP Hsiao, A Mukundan, YM Tsao… - Journal of Clinical …, 2023 - mdpi.com
Many studies have recently used several deep learning methods for detecting skin cancer.
However, hyperspectral imaging (HSI) is a noninvasive optics system that can obtain …

Soil moisture measuring techniques and factors affecting the moisture dynamics: A comprehensive review

MW Rasheed, J Tang, A Sarwar, S Shah, N Saddique… - Sustainability, 2022 - mdpi.com
The amount of surface soil moisture (SSM) is a crucial ecohydrological natural resource that
regulates important land surface processes. It affects critical land–atmospheric phenomena …

Proximal hyperspectral sensing of abiotic stresses in plants

A Sanaeifar, C Yang, M de la Guardia, W Zhang… - Science of The Total …, 2023 - Elsevier
Recent attempts, advances and challenges, as well as future perspectives regarding the
application of proximal hyperspectral sensing (where sensors are placed within 10 m above …

A novel hyperspectral image classification model using bole convolution with three-direction attention mechanism: small sample and unbalanced learning

W Cai, X Ning, G Zhou, X Bai, Y Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Currently, the use of rich spectral and spatial information of hyperspectral images (HSIs) to
classify ground objects is a research hotspot. However, the classification ability of existing …