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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 …
[HTML][HTML] 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 …
[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 …
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 …
Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions
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 …
[HTML][HTML] A systematic review of hyperspectral imaging in precision agriculture: Analysis of its current state and future prospects
Hyperspectral sensor adaptability in precision agriculture to digital images is still at its
nascent stage. Hyperspectral imaging (HSI) is data rich in solving agricultural problems like …
nascent stage. Hyperspectral imaging (HSI) is data rich in solving agricultural problems like …
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 …
[HTML][HTML] Computer vision in smart agriculture and precision farming: Techniques and applications
The transformation of age-old farming practices through the integration of digitization and
automation has sparked a revolution in agriculture that is driven by cutting-edge computer …
automation has sparked a revolution in agriculture that is driven by cutting-edge computer …
[HTML][HTML] Advancement of remote sensing for soil measurements and applications: A comprehensive review
Remote sensing (RS) techniques offer advantages over other methods for measuring soil
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …
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 …