A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications
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 …
organic food for everyone. Farmers are becoming progressively conscious of the need to …
Deep learning-based change detection in remote sensing images: A review
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 …
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
Image encryption is increasingly becoming an important area of research in information
security and network communications as digital images are widely used in various …
security and network communications as digital images are widely used in various …
Microplastics and nanoplastics analysis: options, imaging, advancements and challenges
As emerging contaminants, microplastics and nanoplastics pose analytical challenges to the
scientific community due to the small size, diverse composition and complex environmental …
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 …
machine learning can help crop yield measurement, modelling, prediction, and crop …
[HTML][HTML] Internet of Things and smart sensors in agriculture: Scopes and challenges
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 …
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 …
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
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 …
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
Timely and reliable information about crop management, production, and yield is considered
of great utility by stakeholders (eg, national and international authorities, farmers …
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 …
providing a 2-D spacial component to the spectral profiles found in a given scene. There are …