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 …

Deep learning-based change detection in remote sensing images: A review

A Shafique, G Cao, Z Khan, M Asad, M Aslam - Remote Sensing, 2022 - mdpi.com
Images gathered from different satellites are vastly available these days due to the fast
development of remote sensing (RS) technology. These images significantly enhance the …

Multiple-layer image encryption utilizing fractional-order chen hyperchaotic map and cryptographically secure prngs

W Alexan, N Alexan, M Gabr - Fractal and Fractional, 2023 - mdpi.com
Image encryption is increasingly becoming an important area of research in information
security and network communications as digital images are widely used in various …

Microplastics and nanoplastics analysis: options, imaging, advancements and challenges

C Fang, Y Luo, R Naidu - TrAC Trends in Analytical Chemistry, 2023 - Elsevier
As emerging contaminants, microplastics and nanoplastics pose analytical challenges to the
scientific community due to the small size, diverse composition and complex environmental …

Crop type classification by DESIS hyperspectral imagery and machine learning algorithms

N Farmonov, K Amankulova, J Szatmári… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Developments in space-based hyperspectral sensors, advanced remote sensing, and
machine learning can help crop yield measurement, modelling, prediction, and crop …

[HTML][HTML] Internet of Things and smart sensors in agriculture: Scopes and challenges

P Rajak, A Ganguly, S Adhikary… - Journal of Agriculture and …, 2023 - Elsevier
Agriculture is an essential sector needed for survival of the human community. Several
measures have been taken to enhance the crop production. However harsh environmental …

Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions

MA Moharram, DM Sundaram - Neurocomputing, 2023 - Elsevier
Recently, many efforts have been concentrated on land use land cover (LULC) classification
due to rapid urbanization, environmental pollution, agriculture drought, frequent floods, and …

AgriFusion: An architecture for IoT and emerging technologies based on a precision agriculture survey

RK Singh, R Berkvens, M Weyn - IEEE Access, 2021 - ieeexplore.ieee.org
Precision Agriculture (PA) is a management strategy that utilizes communication and
information technology for farm management. It is a key to improve productivity by using the …

Ensuring agricultural sustainability through remote sensing in the era of agriculture 5.0

V Martos, A Ahmad, P Cartujo, J Ordoñez - Applied Sciences, 2021 - mdpi.com
Timely and reliable information about crop management, production, and yield is considered
of great utility by stakeholders (eg, national and international authorities, farmers …

A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture

JGA Barbedo - Computers and Electronics in Agriculture, 2023 - Elsevier
Hyperspectral images can capture the spectral characteristics of surfaces and objects,
providing a 2-D spacial component to the spectral profiles found in a given scene. There are …