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Hyperspectral imaging for estimating leaf, flower, and fruit macronutrient concentrations and predicting strawberry yields
Managing the nutritional status of strawberry plants is critical for optimizing yield. This study evaluated the potential of hyperspectral imaging...
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Satellite hyperspectral imaging technology as a potential rapid pollution assessment tool for urban landfill sites: case study of Ghazipur and Okhla landfill sites in Delhi, India
Hyperspectral imaging technology has been used for biochemical analysis of Earth’s surface exploiting the spectral reflectance signatures of various...
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Imaging particulate matter exposed pine trees by vehicle exhaust experiment and hyperspectral analysis
This study analyzed spectral variations of the particulate matter (PM hereafter)-exposed pine trees using a spectrometer and a hyperspectral imager...
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Classification and distribution of freshwater microplastics along the Italian Po river by hyperspectral imaging
In this work, freshwater microplastic samples collected from four different stations along the Italian Po river were characterized in terms of...
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Dimensionality reduction strategies for land use land cover classification based on airborne hyperspectral imagery: a survey
Hyperspectral image (HSI) contains hundreds of adjacent spectral bands, which can effectively differentiate the region of interest. Nevertheless,...
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Potential of DESIS and PRISMA hyperspectral remote sensing data in rock classification and mineral identification:a case study for Banswara in Rajasthan, India
Remote sensing datasets and methods are suitable for map** and managing the natural resources like minerals, clean water, and energy and also...
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Hyperspectral imaging for small-scale analysis of Hordeum vulgare L. leaves under the benzo[a]pyrene effect
Hyperspectral imaging is a newly developed approach to estimate the current state of the plants and to develop the methods of soil and plant...
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UAV hyperspectral remote sensor images for mango plant disease and pest identification using MD-FCM and XCS-RBFNN
To diminish disease transmission together with promoting effective management techniques, it is crucial to monitor plant health and detect pathogens...
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Assessment of water quality parameters in Muthupet estuary using hyperspectral PRISMA satellite and multispectral images
The continuous availability of spatial and temporal distributed data from satellite sensors provides more accurate and timely information regarding...
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Identification for the species of aquatic higher plants in the Taihu Lake basin based on hyperspectral remote sensing
Aquatic plants are crucial for aquatic ecosystems and their species and distribution reflect aquatic ecosystem health. Remote sensing technology has...
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The Identification of Spherical Engineered Microplastics and Microalgae by Micro-hyperspectral Imaging
Based on the micro-hyperspectral imaging technique, spherical engineered microplastic (polyethylene, 10–45 μm) and microalgae ( Isochrysis galbana )...
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Hyperspectral sensing of heavy metals in soil by integrating AI and UAV technology
Given the limitation of conventional soil pollution monitoring through map** which is a costly, time-consuming work, the study aims to establish an...
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Hyperspectral Imaging as a Potential Online Detection Method of Microplastics
Microplastic pollution in aquatic environment has raised concern and as a result a number of studies have recently been published to find solutions...
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Evaluation of Photovoltaic Systems Performance Using Satellites and Drones Digital Imaging
Due to changing lifestyle and population growth, the demand for energy is increasing at an unprecedented rate, leading to an increase of greenhouse...
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Application of High-Resolution Near-Infrared Imaging Spectroscopy to Detect Microplastic Particles in Different Environmental Compartments
Microplastic particles (MPP) occur in various environmental compartments all over the world. They have been frequently investigated in oceans,...
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Experimental Analysis on the Ultraviolet Imaging of Oil Film on Water Surface: Implication for the Optimal Band for Oil Film Detection Using Ultraviolet Imaging
Passive ultraviolet (UV) imaging is a potential way to detect thin oil film on water surface due to the high reflectivity of oil film under UV bands....
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Sensitivity analysis of artificial neural network for chlorophyll prediction using hyperspectral data
Hyperspectral acquisition provides the spectral response in narrow and continuous spectral channel. The high number of contiguous bands in...
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Application and recent progress of inland water monitoring using remote sensing techniques
Hyperspectral remote sensing, which retrieves the water quality parameters by direct high-resolution analysis of the electromagnetic spectrum...
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Optical Techniques for Automated Evaluation of Seed Damage
Cereal grains and oilseeds, fundamental components of global diets, face significant vulnerability to mechanical damage during various stages,...
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Identification of microplastic fibres released from COVID-19 test swabs with Raman imaging
BackgroundCOVID-19 pandemic is not yet over, and it has been generating lots of plastic wastes that become a big concern. To catch the virus, for...
