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Information Fusion, ISSN 1566-2535, 05/2017, Volume 35, pp. 68 - 80
Journal Article
2019, ISBN 9783038974123
Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and... 
CARS | obstacle detection | stratification | optical sensor | neural networks | spectral analysis | regression estimator | Kinect | response surface sampling | sensor evaluation | electromagnetic induction | multivariate water quality parameters | mandarin orange | proximity sensing | crop inspection platform | SPA-MLR | object tracking | distributed systems | feature selection | pest | simultaneous measurement | noninvasive detection | texture feature | diseases | soil mapping | genetic algorithms | classification | soil salinity | processing of sensed data | visible and near-infrared reflectance spectroscopy | germination | electrochemical sensors | thermal image | computer vision | ECa-directed soil sampling | handheld | hyperspectral imaging | recognition patterns | salt concentration | clover-grass | diffusion | dielectric dispersion | UAS | random forests | bovine embedded hardware | weed control | soil | case studies | total nitrogen | field crops | thermal imaging | cameras | dry matter composition | vineyard | near-infrared | connected dominating set | water depth sensors | salt tolerance | SS-OCT | wheat | deep convolutional neural networks | striped stem-borer | silage | geostatistics | detection | NIR hyperspectral imaging | soil type classification | water management | preprocessing methods | wireless sensor networks (WSN) | electronic nose | remote sensing image classification | machine learning | precision plant protection | radar | virtual organizations of agents | spatial variability | GF-1 satellite | packing density | data validation and calibration | dataset | Wi-SUN | temperature sensors | plant disease | naked barley | geoinformatics | gas sensor | X-ray fluorescence spectroscopy | vegetable oil | leaf area index | CIE-Lab | photograph-grid method | Vitis vinifera | change of support | WSN distribution algorithms | radiative transfer model | laser-induced breakdown spectroscopy | irrigation | 3D reconstruction | plant phenotyping | quality assessment | energy efficiency | wireless sensor network (WSN) | geo-information | Fusarium | texture features | weeds | discrimination | big data | soil moisture sensors | vine | meat spoilage | land cover | stereo imaging | near infrared | near infrared sensors | vegetation indices | remote sensing | greenhouse | biological sensing | compound sensor | pest management | moisture | plant localization | heavy metal contamination | artificial neural networks | time-series data | scattering | spectral pre-processing | sensor | crop area | moisture content | apparent soil electrical conductivity | data fusion | speckle | spatial data | semi-arid regions | smart irrigation | grapevine breeding | back propagation model | wide field view | partial least squares-discriminant analysis | spiking | area frame sampling | wireless sensor network | energy balance | light-beam | chromium content | fluorescent measurement | agriculture | machine-learning | precision agriculture | deep learning | RGB-D sensor | spectroscopy | hulled barely | dielectric probe | pest scouting | RPAS | water supply network | PLS | rice leaves | Capsicum annuum | spatial-temporal model | drying temperature | boron tolerance | mobile app | ambient intelligence | gradient boosted machines | hyperspectral camera | one-class | laser wavelength | nitrogen | LiDAR | fuzzy logic | dynamic weight | total carbon | chemometrics analysis | rice | landslide | management zones | agricultural land | on-line vis-NIR measurement | real-time processing | event detection | crop monitoring | apple shelf-life | rice field monitoring | wireless sensor | birth sensor | proximal sensor
eBook
2019, ISBN 3038977454
Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and... 
CARS | obstacle detection | stratification | optical sensor | neural networks | spectral analysis | regression estimator | Kinect | response surface sampling | sensor evaluation | electromagnetic induction | multivariate water quality parameters | mandarin orange | proximity sensing | crop inspection platform | SPA-MLR | object tracking | distributed systems | feature selection | pest | simultaneous measurement | noninvasive detection | texture feature | diseases | soil mapping | genetic algorithms | classification | soil salinity | processing of sensed data | visible and near-infrared reflectance spectroscopy | germination | electrochemical sensors | thermal image | computer vision | ECa-directed soil sampling | handheld | hyperspectral imaging | recognition patterns | salt concentration | clover-grass | diffusion | dielectric dispersion | UAS | random forests | bovine embedded hardware | weed control | soil | case studies | total nitrogen | field crops | thermal imaging | cameras | dry matter composition | vineyard | near-infrared | connected dominating set | water depth sensors | salt tolerance | SS-OCT | wheat | deep convolutional neural networks | striped stem-borer | silage | geostatistics | detection | NIR hyperspectral imaging | soil type classification | water management | preprocessing methods | wireless sensor networks (WSN) | electronic nose | remote sensing image classification | machine learning | precision plant protection | radar | virtual organizations of agents | spatial variability | GF-1 satellite | packing density | data validation and calibration | dataset | Wi-SUN | temperature sensors | plant disease | naked barley | geoinformatics | gas sensor | X-ray fluorescence spectroscopy | vegetable oil | leaf area index | CIE-Lab | photograph-grid method | Vitis vinifera | change of support | WSN distribution algorithms | radiative transfer model | laser-induced breakdown spectroscopy | irrigation | 3D reconstruction | plant phenotyping | quality assessment | energy efficiency | wireless sensor network (WSN) | geo-information | Fusarium | texture features | weeds | discrimination | big data | soil moisture sensors | vine | meat spoilage | land cover | stereo imaging | near infrared | near infrared sensors | vegetation indices | remote sensing | greenhouse | biological sensing | compound sensor | pest management | moisture | plant localization | heavy metal contamination | artificial neural networks | time-series data | scattering | spectral pre-processing | sensor | crop area | moisture content | apparent soil electrical conductivity | data fusion | speckle | spatial data | semi-arid regions | smart irrigation | grapevine breeding | back propagation model | wide field view | partial least squares-discriminant analysis | spiking | area frame sampling | wireless sensor network | energy balance | light-beam | chromium content | fluorescent measurement | agriculture | machine-learning | precision agriculture | deep learning | RGB-D sensor | spectroscopy | hulled barely | dielectric probe | pest scouting | RPAS | water supply network | PLS | rice leaves | Capsicum annuum | spatial-temporal model | drying temperature | boron tolerance | mobile app | ambient intelligence | gradient boosted machines | hyperspectral camera | one-class | laser wavelength | nitrogen | LiDAR | fuzzy logic | dynamic weight | total carbon | chemometrics analysis | rice | landslide | management zones | agricultural land | on-line vis-NIR measurement | real-time processing | event detection | crop monitoring | apple shelf-life | rice field monitoring | wireless sensor | birth sensor | proximal sensor
eBook
Sensors (Switzerland), ISSN 1424-8220, 02/2014, Volume 14, Issue 2, pp. 2756 - 2775
We propose an automatic, privacy-preserving, fall detection method for indoor environments, based on the usage of the Microsoft Kinect((R)) depth sensor, in an... 
Kinect | Human recognition | Elderly care | Fall detection | Depth frame | ELECTROCHEMISTRY | CHEMISTRY, ANALYTICAL | INSTRUMENTS & INSTRUMENTATION | fall detection | human recognition | depth frame | elderly care
Journal Article
Atmospheric Measurement Techniques, ISSN 1867-1381, 2012, Volume 5, Issue 5, pp. 913 - 926
Global and local properties of atmospheric aerosols have been extensively observed and measured using both spaceborne and ground-based instruments, especially... 
DATA-ASSIMILATION | AERONET | AVHRR DATA | ALGORITHM | LAND | CHANNELS | OCEANS | OPTICAL DEPTH | METEOROLOGY & ATMOSPHERIC SCIENCES | MODIS | RETRIEVALS | Atmospheric physics | Sales promotions | Sensors
Journal Article
Advanced Materials, ISSN 0935-9648, 10/2016, Volume 28, Issue 37, pp. 8068 - 8068
On page 8130, T. Kim and co‐workers present a dramatically enhanced sensitivity in nanoscale‐crack‐based mechanosensors by modulating the crack geometry,... 
signal‐to‐noise ratio | crack depth | strain gauge sensors | gauge factors | signal-to-noise ratio | Sensors
Journal Article
IEEE Journal of Solid-State Circuits, ISSN 0018-9200, 12/2008, Volume 43, Issue 12, pp. 2977 - 2989
A laser source was used to illuminate the scene up to 3.75 m with an average power of 1 mW, a field-of-view of 5deg and under 150 lux of constant background... 
Range imaging | Single-photon avalanche diode | 3-D image sensor | F&rster Resonance Energy Transfer (FRET) | Flash laser camera | Depth sensor | FCS | Geiger-mode avalanche photodiode | Rangefinder | Fluorescence lifetime imaging microscopy (FLIM) | Sensors
Journal Article
Remote Sensing, ISSN 2072-4292, 01/2012, Volume 4, Issue 1, pp. 271 - 302
A generic method was developed for analysing the capabilities of optical remote sensing of aquatic systems in terms of environmental components and imaging... 
Benthic | Coral reefs | Inherent optical properties | Aquatic | Bleaching | Remote sensing | COVER | SHALLOW WATERS | bleaching | remote sensing | CLASSIFICATION | COASTAL | DEPTHS | BATHYMETRY | DISCRIMINATION | coral reefs | benthic | inherent optical properties | HEALTH | aquatic | BENTHIC COMMUNITIES
Journal Article
SENSORS, ISSN 1424-8220, 07/2012, Volume 12, Issue 7, pp. 8640 - 8662
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 11/2014, Volume 24, Issue 11, pp. 1935 - 1944
Journal Article
IEEE Sensors Journal, ISSN 1530-437X, 08/2015, Volume 15, Issue 8, pp. 4554 - 4564
Journal Article
by Lee, DS and Kwon, SK
SENSORS, ISSN 1424-8220, 02/2019, Volume 19, Issue 4, p. 885
In this paper, a virtual touch sensor using a depth camera is proposed. Touch regions are detected by finding each region that consists of pixels within a... 
ELECTROCHEMISTRY | CHEMISTRY, ANALYTICAL | INSTRUMENTS & INSTRUMENTATION | SURFACE | virtual touch sensor | depth camera | depth picture | touch interface | User-Computer Interface | Biosensing Techniques - methods | Algorithms | Touch - physiology | Humans
Journal Article