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All in the mix

Authors: ---
ISBN: 9781526139306 Year: Pages: 192 Language: English
Publisher: Manchester University Press Grant: University of Manchester
Subject: Education --- Sociology
Added to DOAB on : 2019-05-14 11:21:03
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All in the mix: class, race and school choice considers how parents choose secondary schools for their children and makes an important intervention into debates on school choice and education. The book examines how parents talk about race, religion and class – in the process of choosing. It also explores how parents’ own racialised and classed positions, as well as their experience of education, can shape the way they approach choosing schools. Based on in-depth interviews with parents from different classed and racialised backgrounds in three areas in and around Manchester, the book shows how discussions about school choice are shaped by the places in which the choices are made. It argues that careful consideration of choosing schools opens up a moment to explore the ways in which people imagine themselves, their children and others in social, relational space.

Keywords

school choice --- education --- race --- class --- affect --- inequalities --- diversity --- place --- whiteness --- gender

Love and Intrigue

ISBN: 9781783747405 /9781783747405 Year: Pages: 128 DOI: 10.11647/OBP.0175 Language: English
Publisher: Open Book Publishers
Subject: Performing Arts --- Languages and Literatures
Added to DOAB on : 2019-06-04 11:21:02
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"Schiller’s play Kabale und Liebe, usually translated into English as Love and Intrigue, represents the disastrous consequences that follow when social constraint, youthful passion, and ruthless scheming collide in a narrow setting. Written between 1782 and 1784, the play bears the marks of life at the court of the despotic Duke of Württemberg, from which Schiller had just fled, and of a fraught liaison he entered shortly after his flight. It tells the tale of a love affair that crosses the boundaries of class, between a fiery and rebellious young nobleman and the beautiful and dutiful daughter of a musician. Their affair becomes entangled in the competing purposes of malign and not-so-malign figures present at an obscure and sordid princely court somewhere in Germany. It all leads to a climactic murder–suicide. Love and Intrigue, the third of Schiller’s canonical plays (after The Robbers and Fiesco’s Conspiracy at Genoa), belongs to the genre of domestic tragedy, with a small cast and an action indoors. It takes place as the highly conventional world of the late eighteenth century stands poised to erupt, and these tensions pervade its setting and emerge in its action. This lively play brims with comedy and tragedy expressed in a colorful, highly colloquial, sometimes scandalous prose well captured in Flora Kimmich’s skilled and informed translation. An authoritative essay by Roger Paulin introduces the reader to the play. As with all books in the Open Book Classics series, this translation is supported by an introduction and notes that situate an old text in its period and help both the student and the general reader read it with ease and with pleasure."

Machine Learning Techniques Applied to Geoscience Information System and Remote Sensing

Authors: ---
ISBN: 9783039212156 9783039212163 Year: Pages: 438 DOI: 10.3390/books978-3-03921-216-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Mechanical Engineering
Added to DOAB on : 2019-12-09 11:49:15
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As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.

Keywords

landslide --- bagging ensemble --- Logistic Model Trees --- GIS --- Vietnam --- colorization --- random forest regression --- grayscale aerial image --- change detection --- gully erosion --- environmental variables --- data mining techniques --- SCAI --- GIS --- mapping --- single-class data descriptors --- materia medica resource --- Panax notoginseng --- one-class classifiers --- geoherb --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- remote sensing image segmentation --- convolutional neural networks --- Gaofen-2 --- hybrid structure convolutional neural networks --- winter wheat spatial distribution --- classification-based learning --- real-time precise point positioning --- convergence time --- ionospheric delay constraints --- precise weighting --- landslide --- weights of evidence --- logistic regression --- random forest --- hybrid model --- traffic CO --- traffic CO prediction --- neural networks --- GIS --- land use/land cover (LULC) --- unmanned aerial vehicle --- texture --- gray-level co-occurrence matrix --- machine learning --- crop --- landslide susceptibility --- random forest --- boosted regression tree --- information gain --- landslide susceptibility map --- ALS point cloud --- multi-scale --- classification --- large scene --- coarse particle --- particulate matter 10 (PM10) --- landsat image --- machine learning --- support vector machine --- high-resolution --- optical remote sensing --- object detection --- deep learning --- transfer learning --- land subsidence --- Bayes net --- naïve Bayes --- logistic --- multilayer perceptron --- logit boost --- change detection --- convolutional network --- deep learning --- panchromatic --- remote sensing --- leaf area index (LAI) --- machine learning --- Sentinel-2 --- sensitivity analysis --- training sample size --- spectral bands --- spatial sparse recovery --- constrained spatial smoothing --- spatial spline regression --- alternating direction method of multipliers --- landslide prediction --- machine learning --- neural networks --- model switching --- spatial predictive models --- predictive accuracy --- model assessment --- variable selection --- feature selection --- model validation --- spatial predictions --- reproducible research --- Qaidam Basin --- remote sensing --- TRMM --- artificial neural network --- n/a

Geoinformatics in Citizen Science

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ISBN: 9783039210725 9783039210732 Year: Pages: 206 DOI: 10.3390/books978-3-03921-073-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-08-28 11:21:27
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The book features contributions that report original research in the theoretical, technological, and social aspects of geoinformation methods, as applied to supporting citizen science. Specifically, the book focuses on the technological aspects of the field and their application toward the recruitment of volunteers and the collection, management, and analysis of geotagged information to support volunteer involvement in scientific projects. Internationally renowned research groups share research in three areas: First, the key methods of geoinformatics within citizen science initiatives to support scientists in discovering new knowledge in specific application domains or in performing relevant activities, such as reliable geodata filtering, management, analysis, synthesis, sharing, and visualization; second, the critical aspects of citizen science initiatives that call for emerging or novel approaches of geoinformatics to acquire and handle geoinformation; and third, novel geoinformatics research that could serve in support of citizen science.

Interventions to Reduce Bullying and Cyberbullying

Authors: --- ---
ISBN: 9783039213597 9783039213603 Year: Pages: 214 DOI: 10.3390/books978-3-03921-360-3 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Social Sciences --- Sociology
Added to DOAB on : 2019-12-09 11:49:15
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This book, a Special Issue of the International Journal of Environmental Research and Public Health, has been curated by three leading international experts on the topic. Following their editorial, there are 14 contributions on the topic of interventions against bullying, including cyberbullying, and similar abusive behaviors such as dating violence. Some contributions also assess positive or protective factors such as well-being, self-efficacy, and school climate. Eight of the contributions directly assess the effects of an intervention, with pre/post test designs and experimental and control groups. The other contributions examine a range of relevant topics, such as teacher attitudes and pupils’ confidence in intervening rather than being passive bystanders. Ten countries are represented among the authors. Most of the articles are about secondary schools (pupils, or teachers), but there are also contributions on early childhood, primary school, and university. This book will be of interest and relevance not only to researchers but also to teachers and educational practitioners concerned with pupil safety and well-being in school, and provides practical ways to reduce bullying and its harmful effects.

Keywords

bullying --- intervention --- pre-service teachers --- special education needs students --- cyberbullying --- cybervictimization --- prevention program --- tabby intervention program --- risk factors --- threat assessment --- ecological system theory --- bullying --- intervention --- willingness to intervene --- verbal bullying --- relational bullying --- aggression --- school --- classroom climate --- classroom cohesion --- self-efficacy --- bullying --- martial arts --- mental health --- resilience --- self-efficacy --- wellbeing --- effectiveness --- moderators --- temperament --- anti-bullying --- subgroup analyses --- dating violence --- bullying --- prevention program --- Dat-e Adolescence --- Asegúrate program --- cyberbullying --- cyber-victim --- cyber-aggressor --- bullying --- cyberbullying --- prevention program --- Prev@cib --- adolescents --- bullying --- cyberbullying --- school climate --- intervention program --- cyberbullying --- intervention --- school --- minors --- families --- teachers --- successful educational action --- Bullying --- intervention --- young children --- South Korea --- hakkyo-pokryuk --- prevention --- cyberbullying --- coping strategies --- teacher based-intervention --- adolescents --- traditional victimization --- cyber victimization --- bullying --- teacher styles --- authoritative leadership --- warmth --- control --- class teacher --- cyberbullying --- peer support --- bystanders --- moral disengagement --- cyberbullying and the law --- mental health --- social environment --- cyberbullying interventions --- educational lifespan --- n/a

Synthetic DNA and RNA Programming

Authors: ---
ISBN: 9783039217342 9783039217359 Year: Pages: 188 DOI: 10.3390/books978-3-03921-735-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology
Added to DOAB on : 2019-12-09 11:49:16
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Dear Colleagues, Synthetic biology is a broad and emerging discipline that capitalizes on recent advances in molecular biology, genetics, protein and RNA engineering and omics technologies. These technologies have transformed our ability to reveal the biology of the cell and the molecular basis of disease.

Keywords

fluorescent reporter --- live cell imaging --- microRNA quantification --- optogenetics --- small molecule drug screening --- Escherichia coli --- recombinant protein production --- gene overexpression --- growth effect --- ASKA collection --- codon bias --- branched-chain amino acids --- gene ontology --- genetic code expansion --- protein kinase B --- phosphoinositide dependent kinase 1 --- phosphoseryl-tRNA synthetase --- tRNASep --- alanyl-tRNA synthetase --- class II aminoacyl-tRNA synthetase --- expanded genetic code --- lysine acetylation --- posttranslational modification --- genetic code expansion --- transfer RNA --- synthetic biology --- non-canonical amino acids --- selenocysteine --- genetic code expansion --- release factor 1 --- amber stop codon suppression --- M. jannaschii orthogonal pair --- fluorescence-based screen --- cyclic peptides --- biopharmaceuticals --- mRNA display --- yeast two hybrid --- tRNASer --- mistranslation --- anticodon --- functional conservation --- alternative amino acid and nucleotide repertoires --- alternative core cellular chemistries --- biocontainment --- genetic firewall --- genetic isolation --- orthogonal central dogma of molecular biology --- synthetic life --- xenobiology --- genome engineering --- synthetic biology --- yeasts --- Metschnikowia --- genetic tools --- DNA delivery --- CUG-Ser --- reverse polymerization --- tRNA editing --- tRNA repair --- protein engineering --- synthetic biology --- tRNA --- misacylation --- indirect tRNA aminoacylation --- AspRS --- GluRS-like --- genetic code expansion --- genome synthesis --- genome editing --- microRNA --- protein modification --- RNA metabolism --- tRNA --- synthetic biology --- unnatural amino acids --- unnatural nucleotides

Stochastic Processes: Theory and Applications

Authors: --- ---
ISBN: 9783039219629 9783039219636 Year: Pages: 216 DOI: 10.3390/books978-3-03921-963-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics --- Statistics
Added to DOAB on : 2020-01-07 09:08:26
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The aim of this special issue is to publish original research papers that cover recent advances in the theory and application of stochastic processes. There is especial focus on applications of stochastic processes as models of dynamic phenomena in various research areas, such as queuing theory, physics, biology, economics, medicine, reliability theory, and financial mathematics. Potential topics include, but are not limited to: Markov chains and processes; large deviations and limit theorems; random motions; stochastic biological model; reliability, availability, maintenance, inspection; queueing models; queueing network models; computational methods for stochastic models; applications to risk theory, insurance and mathematical finance.

Keywords

measure of information --- cumulative inaccuracy --- mutual information --- lower record values --- parabolic equation --- Cauchy problem --- Monte Carlo method --- unbiased estimator --- von-Neumann–Ulam scheme --- compound poisson insurance risk model --- expected discounted penalty function --- estimation --- Fourier transform --- Fourier-cosine series --- multidimensional birth-death process --- inhomogeneous continuous-time Markov chain --- rate of convergence --- one dimensional projection --- Wiener–Poisson risk model --- survival probability --- Nonparametric threshold estimation --- wet periods --- total precipitation volume --- asymptotic approximation --- extreme order statistics --- random sample size --- testing statistical hypotheses --- queueing systems --- rate of convergence --- non-stationary --- Markovian queueing models --- limiting characteristics --- queuing network --- retrials --- state-dependent marked Markovian arrival process --- wireless telecommunication networks --- time-dependent queue-length probability --- discrete-time Geo/D/1 queue --- closed-form solution --- Monte Carlo method --- quasi-Monte Carlo method --- Koksma-Hlawka inequality --- quasi-random sequences --- stochastic processes --- processor heating and cooling --- markovian arrival process --- phase-type service time distribution --- impatience --- Quasi-Birth-and-Death process --- matrix-geometric solution --- truncated distribution --- Markovian arrival process --- multi-class arrival processes --- product form --- equity-linked death benefits --- Fourier cosine series expansion --- guaranteed minimum death benefit --- option --- valuation --- Lévy process --- compound Poisson risk model --- generalized Gerber–Shiu discounted penalty function --- Laplace transform --- Dickson–Hipp operator --- recursive formula

Long-Term Health Effects of the 9/11 Disaster

Authors: --- ---
ISBN: 9783039218127 9783039218134 Year: Pages: 298 DOI: 10.3390/books978-3-03921-813-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Philosophy
Added to DOAB on : 2019-12-09 11:49:16
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The terrorist attacks on the World Trade Center towers on September 11, 2001, also referred as 9/11, was an iconic event in US history that altered the global and political response to terrorism. The attacks, which involved two planes hitting the twin towers in Lower Manhattan, New York City, resulted in the collapse of the buildings and over 2800 deaths of occupants of the buildings, fire, police and other responders and persons on the street in the vicinity of the collapsing buildings. The destroyed towers and the surrounding buildings have since been replaced but the health effects that resulted from the release of tons of dust, gases and debris as well as the life threat trauma are ongoing, and represent a major health burden among persons directly exposed. Hundreds of scientific publications have documented the physical and mental health effects attributed to the disaster. The current state-of-the-art in understanding the ongoing interactions of physical and mental health, especially PTSD, and the unique mechanisms by which pollutants from the building collapse, have resulted in long term pulmonary dysfunction, course of previously reported conditions, potential emerging conditions (e.g., heart disease and autoimmune diseases), as well as quality of life, functioning and unmet health care needs would be in the purview of this Special Issue on the 9/11 Disaster.

Keywords

counseling --- post-disaster --- psychotherapy --- mental health treatment --- treatment utilization --- World Trade Center --- indoor allergens sensitization --- asthma quality of life --- asthma control --- asthma outcomes --- mini asthma quality of life questionnaire --- asthma morbidity --- WTC-related asthma --- immunoglobulin E --- allergen exposure --- WTC attack --- respiratory symptoms --- lower Manhattan residents --- cleaning practices --- WTC --- fibrotic sarcoid --- injury --- inflammation --- fibrosis --- World Trade Center disaster --- pulmonary fibrosis --- dust --- injury --- physical health --- mental health --- World Trade Center disaster --- Short Form-12 (SF-12) --- HQoL --- 9/11 --- 9/11 disaster --- handgrip strength --- WTC responders --- PTSD --- depression --- aging --- 9/11 impact --- retirement --- chronic disease --- PTSD --- disaster --- income loss --- PTSD symptom change --- PCL score --- longitudinal analysis --- PTSD cluster --- WTC survivors --- 9/11 disaster --- obstructive sleep apnea --- comorbid insomnia --- sleep-related quality of life --- chronic sinusitis --- sleepiness --- WTC responders --- thyroid cancer --- 9/11 disaster --- World Trade Center --- surveillance bias --- sarcoidosis --- World Trade Center (WTC) --- Scadding stage --- lung function --- severe lung disease --- extrathoracic sarcoidosis --- cardiac sarcoidosis --- unmet mental health care needs --- Asian Americans --- World Trade Center attack --- disaster --- mental health conditions --- mental health service use --- health insurance --- social support --- stressful life events --- cognitive reserve --- cognitive decline --- latent class analysis --- disaster epidemiology --- PTSD --- airway physiology --- dust --- environmental health --- forced oscillation --- respiratory function --- small airway disease --- paresthesia --- neuropathic symptoms --- Cox regression --- hazard function --- World Trade Center exposure --- metabolic syndrome --- airway hyperreactivity --- World Trade Center --- disaster mental health --- evidence-based treatment --- mental health service utilization --- quality improvement --- 9/11 --- screening --- thyroid cancer --- biomarkers --- medical imaging --- pulmonary function tests --- lung injury --- occupational exposure --- epidemiological studies --- peripheral neuropathy --- prevalence --- World Trade Center --- rescue/recovery workers --- occupational exposure --- sarcoidosis --- World Trade Center --- 9/11 --- genetics --- firefighters --- FDNY --- 9/11 disaster --- asthma --- trigger(s) --- air pollution --- irritant(s) --- health-related quality of life --- n/a

Sensors in Agriculture

Author:
ISBN: 9783038974123 9783038974130 Year: Pages: 346 DOI: 10.3390/books978-3-03897-413-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.

Keywords

wireless sensor network (WSN) --- Wi-SUN --- vine --- mandarin orange --- thermal image --- fluorescent measurement --- X-ray fluorescence spectroscopy --- visible and near-infrared reflectance spectroscopy --- heavy metal contamination --- spectral pre-processing --- feature selection --- machine-learning --- LiDAR --- light-beam --- plant localization --- Kinect --- leaf area index --- radiative transfer model --- neural networks --- GF-1 satellite --- wide field view --- big data --- geo-information --- plant phenotyping --- grapevine breeding --- Vitis vinifera --- ambient intelligence --- wireless sensor --- fuzzy logic --- smart irrigation --- virtual organizations of agents --- CIE-Lab --- precision plant protection --- optical sensor --- weed control --- classification --- NIR hyperspectral imaging --- chemometrics analysis --- weeds --- UAS --- RPAS --- one-class --- machine learning --- remote sensing --- geoinformatics --- plant disease --- pest --- deep convolutional neural networks --- real-time processing --- detection --- hyperspectral imaging --- soil type classification --- total nitrogen --- texture features --- data fusion --- Fusarium --- near-infrared --- spectroscopy --- hulled barely --- partial least squares-discriminant analysis --- remote sensing --- precision agriculture --- crop monitoring --- data fusion --- speckle --- diffusion --- scattering --- biological sensing --- apparent soil electrical conductivity --- ECa-directed soil sampling --- electromagnetic induction --- proximal sensor --- response surface sampling --- salt tolerance --- boron tolerance --- soil mapping --- soil salinity --- spatial variability --- irrigation --- energy balance --- water management --- semi-arid regions --- on-line vis-NIR measurement --- total nitrogen --- total carbon --- spiking --- gradient boosted machines --- artificial neural networks --- random forests --- rice --- striped stem-borer --- hyperspectral imaging --- texture feature --- data fusion --- greenhouse --- wireless sensor network --- data fusion --- dynamic weight --- dataset --- agriculture --- obstacle detection --- computer vision --- cameras --- stereo imaging --- thermal imaging --- LiDAR --- radar --- object tracking --- crop area --- remote sensing image classification --- area frame sampling --- stratification --- regression estimator --- agriculture --- meat spoilage --- vegetable oil --- quality assessment --- electronic nose --- electrochemical sensors --- spectral analysis --- feature selection --- genetic algorithms --- classification --- vegetation indices --- vineyard --- diseases --- spatial data --- sensor --- data fusion --- change of support --- geostatistics --- precision agriculture --- management zones --- event detection --- back propagation model --- multivariate water quality parameters --- time-series data --- spatial-temporal model --- connected dominating set --- water supply network --- SS-OCT --- Capsicum annuum --- germination --- salt concentration --- deep learning --- clover-grass --- precision agriculture --- dry matter composition --- proximity sensing --- 3D reconstruction --- RGB-D sensor --- crop inspection platform --- water depth sensors --- soil moisture sensors --- temperature sensors --- rice field monitoring --- irrigation --- silage --- packing density --- moisture content --- compound sensor --- simultaneous measurement --- birth sensor --- bovine embedded hardware --- ambient intelligence --- virtual organizations of agents --- Fusarium --- near infrared --- discrimination --- hulled barely --- naked barley --- wheat --- dielectric probe --- apple shelf-life --- dielectric dispersion --- electronic nose --- pest scouting --- pest management --- gas sensor --- noninvasive detection --- nitrogen --- near infrared sensors --- drying temperature --- SPA-MLR --- PLS --- CARS --- hyperspectral camera --- handheld --- sensor evaluation --- case studies --- soil --- moisture --- sensor --- landslide --- rice leaves --- chromium content --- laser-induced breakdown spectroscopy --- laser wavelength --- preprocessing methods --- agricultural land --- field crops --- land cover --- photograph-grid method --- remote sensing --- data validation and calibration --- mobile app --- wireless sensor networks (WSN) --- energy efficiency --- distributed systems --- processing of sensed data --- WSN distribution algorithms --- recognition patterns --- agriculture

Sensors in Agriculture

Author:
ISBN: 9783038977445 9783038977452 Year: Pages: 354 DOI: 10.3390/books978-3-03897-745-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.

Keywords

wireless sensor network (WSN) --- Wi-SUN --- vine --- mandarin orange --- thermal image --- fluorescent measurement --- X-ray fluorescence spectroscopy --- visible and near-infrared reflectance spectroscopy --- heavy metal contamination --- spectral pre-processing --- feature selection --- machine-learning --- LiDAR --- light-beam --- plant localization --- Kinect --- leaf area index --- radiative transfer model --- neural networks --- GF-1 satellite --- wide field view --- big data --- geo-information --- plant phenotyping --- grapevine breeding --- Vitis vinifera --- ambient intelligence --- wireless sensor --- fuzzy logic --- smart irrigation --- virtual organizations of agents --- CIE-Lab --- precision plant protection --- optical sensor --- weed control --- classification --- NIR hyperspectral imaging --- chemometrics analysis --- weeds --- UAS --- RPAS --- one-class --- machine learning --- remote sensing --- geoinformatics --- plant disease --- pest --- deep convolutional neural networks --- real-time processing --- detection --- hyperspectral imaging --- soil type classification --- total nitrogen --- texture features --- data fusion --- Fusarium --- near-infrared --- spectroscopy --- hulled barely --- partial least squares-discriminant analysis --- remote sensing --- precision agriculture --- crop monitoring --- data fusion --- speckle --- diffusion --- scattering --- biological sensing --- apparent soil electrical conductivity --- ECa-directed soil sampling --- electromagnetic induction --- proximal sensor --- response surface sampling --- salt tolerance --- boron tolerance --- soil mapping --- soil salinity --- spatial variability --- irrigation --- energy balance --- water management --- semi-arid regions --- on-line vis-NIR measurement --- total nitrogen --- total carbon --- spiking --- gradient boosted machines --- artificial neural networks --- random forests --- rice --- striped stem-borer --- hyperspectral imaging --- texture feature --- data fusion --- greenhouse --- wireless sensor network --- data fusion --- dynamic weight --- dataset --- agriculture --- obstacle detection --- computer vision --- cameras --- stereo imaging --- thermal imaging --- LiDAR --- radar --- object tracking --- crop area --- remote sensing image classification --- area frame sampling --- stratification --- regression estimator --- agriculture --- meat spoilage --- vegetable oil --- quality assessment --- electronic nose --- electrochemical sensors --- spectral analysis --- feature selection --- genetic algorithms --- classification --- vegetation indices --- vineyard --- diseases --- spatial data --- sensor --- data fusion --- change of support --- geostatistics --- precision agriculture --- management zones --- event detection --- back propagation model --- multivariate water quality parameters --- time-series data --- spatial-temporal model --- connected dominating set --- water supply network --- SS-OCT --- Capsicum annuum --- germination --- salt concentration --- deep learning --- clover-grass --- precision agriculture --- dry matter composition --- proximity sensing --- 3D reconstruction --- RGB-D sensor --- crop inspection platform --- water depth sensors --- soil moisture sensors --- temperature sensors --- rice field monitoring --- irrigation --- silage --- packing density --- moisture content --- compound sensor --- simultaneous measurement --- birth sensor --- bovine embedded hardware --- ambient intelligence --- virtual organizations of agents --- Fusarium --- near infrared --- discrimination --- hulled barely --- naked barley --- wheat --- dielectric probe --- apple shelf-life --- dielectric dispersion --- electronic nose --- pest scouting --- pest management --- gas sensor --- noninvasive detection --- nitrogen --- near infrared sensors --- drying temperature --- SPA-MLR --- PLS --- CARS --- hyperspectral camera --- handheld --- sensor evaluation --- case studies --- soil --- moisture --- sensor --- landslide --- rice leaves --- chromium content --- laser-induced breakdown spectroscopy --- laser wavelength --- preprocessing methods --- agricultural land --- field crops --- land cover --- photograph-grid method --- remote sensing --- data validation and calibration --- mobile app --- wireless sensor networks (WSN) --- energy efficiency --- distributed systems --- processing of sensed data --- WSN distribution algorithms --- recognition patterns --- agriculture

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