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  • 1
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    éditions Quae
    Publication Date: 2024-04-14
    Description: What do we know about inputs and potential of legumes in terms of the sustainability of agricultural and food systems? How can they be used to reduce the damage and maximise the benefits for the environment, agriculture and man? This reference work fuels the reflection on protein sources, nitrogen management in France and the relationship between legumes and sustainability.
    Keywords: environment ; food ; sustainable development ; farmer ; nitrogen ; plant production ; cropping system ; legume ; agronomy ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVF Sustainable agriculture
    Language: French
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  • 2
    Publication Date: 2024-04-14
    Description: Intended as guide for designing the fertilization system in oil palm plantations, this book explains in clear language how to define fertilizer recommendations for each plantation, considering the specific characteristics of each site. The authors present the principles for interpreting the results of plant tissue analysis, mainly leaflets, taking into account the influence of factors specific to each plantation (age, plant material, climate, soil). They detail how to experimentally determine site-specific reference levels of mineral elements and sampling rules for monitoring the nutritional status of the plantation. Priority is given to the most specific facies (soil, plant material) of the planted areas rather than to an average representation of the plots. This guide explains how to create fertilization schedules to achieve optimal leaf contents from experimentation, and to compare these data with information from geographic information systems. This decision support system is designed to be valid in all situations. In addition to the economic optimization of fertilization, environmental concerns are considered: soil health and absorption efficiency must be integrated into the fertilization strategy by optimizing cultivation practices for fertilizer application and organic matter management. This guide is illustrated by numerous examples from trials in various soil, climate and plant material conditions in Africa and Latin America.
    Keywords: agriculture ; agronomy ; decision support ; nitrogen ; technical advice ; sustainable development ; fertiliser ; fertilisation ; chain ; nitrate ; oilseed ; palm ; planting ; prevention ; crop production ; soil ; cropping system ; tropics ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVK Agronomy and crop production
    Language: English
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  • 3
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    éditions Quae
    Publication Date: 2024-04-14
    Description: The use of chemical pesticides is a major societal concern because of their negative impacts on the environment and health. The Priority Research Programme (PPR) "Cultiver et Protéger Autrement" (Growing and Protecting Differently), led by INRAE, plays a structuring role in the evolution of scientific communities and in the emergence of scientific fronts allowing for pesticide-free crop protection. The aim of the book is to explain the foundations of this strategy and the principles of action. By setting itself a zero pesticide course, research is attempting to overcome the current obstacles and produce breakthrough innovations in the biotechnical and socio-economic fields. In addition to research, teaching and the agricultural sector, this book also targets innovation, development and advisory actors.
    Keywords: farmer ; agriculture ; organic farming ; agronomy ; nitrogen ; sustainable development ; industry ; herbicide ; biological control ; pest control ; nitrate ; GMO ; pesticide ; public policy ; pollution ; regulation ; cropping system ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TV Agriculture and farming::TVP Pest control / plant diseases
    Language: French
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  • 4
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: 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: TA1-2040 ; T1-995 ; optical sensor ; spectral analysis ; response surface sampling ; sensor evaluation ; electromagnetic induction ; multivariate water quality parameters ; mandarin orange ; crop inspection platform ; SPA-MLR ; object tracking ; feature selection ; simultaneous measurement ; diseases ; genetic algorithms ; processing of sensed data ; electrochemical sensors ; thermal image ; ECa-directed soil sampling ; handheld ; recognition patterns ; salt concentration ; clover-grass ; bovine embedded hardware ; weed control ; soil ; field crops ; vineyard ; connected dominating set ; water depth sensors ; SS-OCT ; wheat ; striped stem-borer ; silage ; geostatistics ; detection ; NIR hyperspectral imaging ; electronic nose ; machine learning ; virtual organizations of agents ; packing density ; data validation and calibration ; dataset ; Wi-SUN ; temperature sensors ; geoinformatics ; gas sensor ; X-ray fluorescence spectroscopy ; vegetable oil ; photograph-grid method ; Vitis vinifera ; WSN distribution algorithms ; laser-induced breakdown spectroscopy ; irrigation ; quality assessment ; energy efficiency ; wireless sensor network (WSN) ; geo-information ; Fusarium ; texture features ; weeds ; discrimination ; big data ; soil moisture sensors ; meat spoilage ; land cover ; stereo imaging ; near infrared sensors ; biological sensing ; compound sensor ; pest management ; moisture ; plant localization ; heavy metal contamination ; artificial neural networks ; spectral pre-processing ; moisture content ; apparent soil electrical conductivity ; data fusion ; semi-arid regions ; smart irrigation ; back propagation model ; wireless sensor network ; energy balance ; light-beam ; fluorescent measurement ; agriculture ; precision agriculture ; deep learning ; spectroscopy ; hulled barely ; dielectric probe ; RPAS ; water supply network ; rice leaves ; mobile app ; gradient boosted machines ; hyperspectral camera ; one-class ; nitrogen ; LiDAR ; total carbon ; chemometrics analysis ; rice ; agricultural land ; on-line vis-NIR measurement ; CARS ; obstacle detection ; stratification ; neural networks ; regression estimator ; Kinect ; proximity sensing ; distributed systems ; pest ; noninvasive detection ; texture feature ; soil mapping ; classification ; soil salinity ; visible and near-infrared reflectance spectroscopy ; germination ; computer vision ; hyperspectral imaging ; diffusion ; dielectric dispersion ; UAS ; random forests ; case studies ; total nitrogen ; thermal imaging ; cameras ; dry matter composition ; near-infrared ; salt tolerance ; deep convolutional neural networks ; soil type classification ; water management ; preprocessing methods ; wireless sensor networks (WSN) ; remote sensing image classification ; precision plant protection ; radar ; spatial variability ; GF-1 satellite ; plant disease ; naked barley ; leaf area index ; CIE-Lab ; change of support ; radiative transfer model ; 3D reconstruction ; plant phenotyping ; vine ; near infrared ; vegetation indices ; remote sensing ; greenhouse ; time-series data ; scattering ; sensor ; crop area ; speckle ; spatial data ; grapevine breeding ; wide field view ; partial least squares-discriminant analysis ; spiking ; area frame sampling ; chromium content ; machine-learning ; RGB-D sensor ; pest scouting ; PLS ; Capsicum annuum ; spatial-temporal model ; drying temperature ; boron tolerance ; ambient intelligence ; laser wavelength ; fuzzy logic ; dynamic weight ; landslide ; management zones ; real-time processing ; event detection ; crop monitoring ; apple shelf-life ; rice field monitoring ; wireless sensor ; birth sensor ; proximal sensor ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 5
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book, a printed edition of the Special Issue Soil Nitrogen Supply: Linking Plant Available N to Ecosystem Functions and Productivity, presents thoughtful research papers that will advance our understanding of this fascinating topic. New knowledge about modeling and the impact of cover crops, crop residues, soil amendment, and other management practices is presented in the context of agricultural and urban ecosystems.
    Keywords: nitrification inhibitors ; soil type ; CO2 and N2O emissions ; soil nitrogen dynamic ; winter malting barley ; malting quality indices ; summer cover crops ; sunn hemp ; crimson clover ; seeding rate ; nitrogen management ; aerobic incubation ; CO2 production ; microbial metabolism ; enzyme activities ; active biomass ; gross mineralization/immobilization ; Bradyrhizobium ; attachment ; root ; biofilm ; lectin ; soybean ; soil ; hydrophobicity ; Brassica napus ; natural variation ; nitrogen nutrition ; root system architecture ; nitrogen ; miscanthus ; willow ; field experiment ; lettuce ; plant-based amendment ; rhizosphere ; rainfall simulator ; nutrient runoff ; ammonium ; nitrate ; nitrogen use efficiency ; biochar ; total nitrogen ; soil organic carbon ; nitrogen mineralization ; nitrification ; turfgrass ; residential landscapes ; landscape patches ; urban soils ; perennial peanut ; urban landscapes ; N mineralization ; C/N ratio ; crop residue ; N availability ; NBPT ; nitrification inhibitor ; half-life ; degradation rate constant ; nitrogen leaching ; autumn tillage ; no-till ; lysimeter ; field experiment network ; soil nitrogen mineralization ; soil properties ; cropping system ; modeling ; STICS model ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
    Language: English
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  • 6
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: 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: TA1-2040 ; T1-995 ; optical sensor ; spectral analysis ; response surface sampling ; sensor evaluation ; electromagnetic induction ; multivariate water quality parameters ; mandarin orange ; crop inspection platform ; SPA-MLR ; object tracking ; feature selection ; simultaneous measurement ; diseases ; genetic algorithms ; processing of sensed data ; electrochemical sensors ; thermal image ; ECa-directed soil sampling ; handheld ; recognition patterns ; salt concentration ; clover-grass ; bovine embedded hardware ; weed control ; soil ; field crops ; vineyard ; connected dominating set ; water depth sensors ; SS-OCT ; wheat ; striped stem-borer ; silage ; geostatistics ; detection ; NIR hyperspectral imaging ; electronic nose ; machine learning ; virtual organizations of agents ; packing density ; data validation and calibration ; dataset ; Wi-SUN ; temperature sensors ; geoinformatics ; gas sensor ; X-ray fluorescence spectroscopy ; vegetable oil ; photograph-grid method ; Vitis vinifera ; WSN distribution algorithms ; laser-induced breakdown spectroscopy ; irrigation ; quality assessment ; energy efficiency ; wireless sensor network (WSN) ; geo-information ; Fusarium ; texture features ; weeds ; discrimination ; big data ; soil moisture sensors ; meat spoilage ; land cover ; stereo imaging ; near infrared sensors ; biological sensing ; compound sensor ; pest management ; moisture ; plant localization ; heavy metal contamination ; artificial neural networks ; spectral pre-processing ; moisture content ; apparent soil electrical conductivity ; data fusion ; semi-arid regions ; smart irrigation ; back propagation model ; wireless sensor network ; energy balance ; light-beam ; fluorescent measurement ; agriculture ; precision agriculture ; deep learning ; spectroscopy ; hulled barely ; dielectric probe ; RPAS ; water supply network ; rice leaves ; mobile app ; gradient boosted machines ; hyperspectral camera ; one-class ; nitrogen ; LiDAR ; total carbon ; chemometrics analysis ; rice ; agricultural land ; on-line vis-NIR measurement ; CARS ; obstacle detection ; stratification ; neural networks ; regression estimator ; Kinect ; proximity sensing ; distributed systems ; pest ; noninvasive detection ; texture feature ; soil mapping ; classification ; soil salinity ; visible and near-infrared reflectance spectroscopy ; germination ; computer vision ; hyperspectral imaging ; diffusion ; dielectric dispersion ; UAS ; random forests ; case studies ; total nitrogen ; thermal imaging ; cameras ; dry matter composition ; near-infrared ; salt tolerance ; deep convolutional neural networks ; soil type classification ; water management ; preprocessing methods ; wireless sensor networks (WSN) ; remote sensing image classification ; precision plant protection ; radar ; spatial variability ; GF-1 satellite ; plant disease ; naked barley ; leaf area index ; CIE-Lab ; change of support ; radiative transfer model ; 3D reconstruction ; plant phenotyping ; vine ; near infrared ; vegetation indices ; remote sensing ; greenhouse ; time-series data ; scattering ; sensor ; crop area ; speckle ; spatial data ; grapevine breeding ; wide field view ; partial least squares-discriminant analysis ; spiking ; area frame sampling ; chromium content ; machine-learning ; RGB-D sensor ; pest scouting ; PLS ; Capsicum annuum ; spatial-temporal model ; drying temperature ; boron tolerance ; ambient intelligence ; laser wavelength ; fuzzy logic ; dynamic weight ; landslide ; management zones ; real-time processing ; event detection ; crop monitoring ; apple shelf-life ; rice field monitoring ; wireless sensor ; birth sensor ; proximal sensor ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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  • 7
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This book focuses on the fundamental and applied research of the non-destructive estimation and diagnosis of crop leaf and plant nitrogen status and in-season nitrogen management strategies based on leaf sensors, proximal canopy sensors, unmanned aerial vehicle remote sensing, manned aerial remote sensing and satellite remote sensing technologies. Statistical and machine learning methods are used to predict plant-nitrogen-related parameters with sensor data or sensor data together with soil, landscape, weather and/or management information. Different sensing technologies or different modelling approaches are compared and evaluated. Strategies are developed to use crop sensing data for in-season nitrogen recommendations to improve nitrogen use efficiency and protect the environment.
    Keywords: UAS ; multiple sensors ; vegetation index ; leaf nitrogen accumulation ; plant nitrogen accumulation ; pasture quality ; airborne hyperspectral imaging ; random forest regression ; sun-induced chlorophyll fluorescence (SIF) ; SIF yield indices ; upward ; downward ; leaf nitrogen concentration (LNC) ; wheat (Triticum aestivum L.) ; laser-induced fluorescence ; leaf nitrogen concentration ; back-propagation neural network ; principal component analysis ; fluorescence characteristics ; canopy nitrogen density ; radiative transfer model ; hyperspectral ; winter wheat ; flooded rice ; pig slurry ; aerial remote sensing ; vegetation indices ; N recommendation approach ; Mediterranean conditions ; nitrogen ; vertical distribution ; plant geometry ; remote sensing ; maize ; UAV ; multispectral imagery ; LNC ; non-parametric regression ; red-edge ; NDRE ; dynamic change model ; sigmoid curve ; grain yield prediction ; leaf chlorophyll content ; red-edge reflectance ; spectral index ; precision N fertilization ; chlorophyll meter ; NDVI ; NNI ; canopy reflectance sensing ; N mineralization ; farmyard manures ; Triticum aestivum ; discrete wavelet transform ; partial least squares ; hyper-spectra ; rice ; nitrogen management ; reflectance index ; multiple variable linear regression ; Lasso model ; Multiplex®3 sensor ; nitrogen balance index ; nitrogen nutrition index ; nitrogen status diagnosis ; precision nitrogen management ; terrestrial laser scanning ; spectrometer ; plant height ; biomass ; nitrogen concentration ; precision agriculture ; unmanned aerial vehicle (UAV) ; digital camera ; leaf chlorophyll concentration ; portable chlorophyll meter ; crop ; PROSPECT-D ; sensitivity analysis ; UAV multispectral imagery ; spectral vegetation indices ; machine learning ; plant nutrition ; canopy spectrum ; non-destructive nitrogen status diagnosis ; drone ; multispectral camera ; SPAD ; smartphone photography ; fixed-wing UAV remote sensing ; random forest ; canopy reflectance ; crop N status ; Capsicum annuum ; proximal optical sensors ; Dualex sensor ; leaf position ; proximal sensing ; cross-validation ; feature selection ; hyperparameter tuning ; image processing ; image segmentation ; nitrogen fertilizer recommendation ; supervised regression ; RapidSCAN sensor ; nitrogen recommendation algorithm ; in-season nitrogen management ; nitrogen use efficiency ; yield potential ; yield responsiveness ; standard normal variate (SNV) ; continuous wavelet transform (CWT) ; wavelet features optimization ; competitive adaptive reweighted sampling (CARS) ; partial least square (PLS) ; grapevine ; hyperparameter optimization ; multispectral imaging ; precision viticulture ; RGB ; multispectral ; coverage adjusted spectral index ; vegetation coverage ; random frog algorithm ; active canopy sensing ; integrated sensing system ; discrete NIR spectral band data ; soil total nitrogen concentration ; moisture absorption correction index ; particle size correction index ; coupled elimination ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
    Language: English
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  • 8
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: This is a reprint of articles from the Special Issue published online in the open access journal Applied Sciences (ISSN 2076-3417). This book addresses the most recent developments in soil pollution and restoration, contaminant hydrology, and ground disturbance to stimulate fruitful technical and scientific interactions between professionals.
    Keywords: groundwater ; hydrochemistry ; hexavalent chromium contamination ; water chemistry simulation ; construction disturbance ; replacement of embankment ; foamed cement banking technology ; post-construction settlement ; method of replacement thickness calculation ; steam injection ; ethanol ; azeotropic temperature ; heterogeneous aquifers ; nitrobenzene ; microbially induced carbonate precipitation (MICP) ; unsaturated soil ; soil-water characteristic curves ; matrix suction ; microstructure ; molecular dynamics ; mechanical properties ; montmorillonite ; basal spacing ; long-term freeze–thaw cycles ; composite heavy metal contamination ; morphological analysis ; solidification/stabilization ; groundwater level fluctuation zone ; nitrogen ; migration and transformation ; HYDRUS-1D model ; kinetic adsorption and desorption ; groundwater table fluctuations ; Pb ; migration ; experimental study ; unsaturated subgrade ; capillary barrier ; distress control of wetting ; xanthan gum ; silt ; water retention capacity ; strength ; wetting process ; microscopic tests ; overconsolidation effect ; thermal pore water pressure ; calculation method ; saturated clay ; additives ; compacted clay cover ; moisture retention ; gas diffusion barrier ; hydraulic conductivity ; tidal action ; silty-clay soil ; riparian hyporheic zone ; inorganic nitrogen ; occurrence characteristics ; influencing factors ; n/a ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technology
    Language: English
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  • 9
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: Germanium (Ge) chalcogenides are characterized by unique properties that make these materials interesting for a very wide range of applications from phase change memories to ovonic threshold switches and from photonics to thermoelectric and photovoltaic devices. In many cases, their physical properties can be finely tuned by doping or by changing the amount of Ge, which may therefore play a key role in determining the applications, performance, and even the reliability of these devices. In this book, we include 11 articles, mainly focusing on applications of Ge chalcogenides for non-volatile memories. Most of the papers have been produced with funding received from the European Union’s Horizon 2020 Research and Innovation program under grant agreement n. 824957. In the Special Issue “BeforeHand: Boosting Performance of Phase Change Devices by Hetero- and Nanostructure Material Design”, two contributions are related to the prototypical Ge2Sb2Te5 compound, which is the most studied composition, already integrated in many devices such as optical and electronic memories. Five articles focus on Ge-rich GeSbTe alloys, exploring the electrical and the structural properties, as well as the decomposition paths. Other contributions are focused on the effect of the interfaces and on nanowires.
    Keywords: PCM ; Ge2Sb2Te5 ; sputtering ; flexible substrates ; crystallization ; electrical properties ; phase change materials ; nitrogen ; strain ; kinetics ; amorphous phase ; germanium telluride ; indium alloying ; optical contrast ; Ge-rich alloys ; crystallization temperature ; segregation ; Ge-rich GST alloys ; Raman ; electronic properties ; Ge-rich GST ; pulsed laser deposition ; phase separation ; GGST ; EDX elemental chemical mapping ; embedded memory ; density functional theory ; MOCVD ; VLS ; phase-change memory ; nanowires ; core-shell ; Ge–Sb–Te ; Ge–Sb–Te/Sb2Te3 ; embedded electronic memories ; Density Functional Theory ; high-throughput calculations ;   ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering
    Language: English
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  • 10
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    MDPI - Multidisciplinary Digital Publishing Institute
    Publication Date: 2024-04-11
    Description: The concept of sustainability has been intensively used over the last decades since Brundtland´s report was published in 1987. This concept, due to its transversal, horizontal and interdisciplinary nature, can be used in many disciplines, scenarios, spatio-temporal dimensions and different circumstances. The intensive development in recent years of analytical techniques and tools based on disciplines such as artificial intelligence, machine learning, data mining, information theory and the Internet of Things, among others, has meant we are very well-placed for analysing the sustainability of water systems in a multiperspective way. Water systems management requires the most advanced approaches and tools for rigorously addressing all the dimensions involved in the sustainability of its development. Consequently, addressing the sustainability of water systems management may comprise physical (natural processes), chemical, socioeconomic, legal, institutional, infrastructure (engineering), political and cultural aspects, among others. This Special Issue welcomes general and specific contributions that address the sustainability of water systems management considering its development. Special interest will be given to those contributions that consider tradeoffs and/or integration between some of the aspects or disciplines that drive the sustainability of water systems in the context of their management and development.
    Keywords: suspended solids ; unmanned aerial vehicle ; spectral imaging ; artificial neural networks ; water resource ; South Korean urban industry ; green use efficiency of industrial water (GUEIW) ; global non-radial directional distance function model (GNDDF) ; economic efficiency of industrial water use (ECEIW) ; environmental efficiency of industrial water use (ENEIW) ; water quality ; climate change ; Bayesian networks ; uncertainty ; multi-models ; prioritization ; geomorphometric parameters ; compound parameter ; geospatial distribution ; GIS ; GHGs ; aquatic factors ; random forest ; water temperature ; nitrogen ; sulfate ; concrete arch-dams ; stability scenarios ; deformation scenarios ; safety management ; sustainability assessment ; runoff ; temporal dependence ; rivers’ sustainability ; predictive methods ; causal reasoning ; runoff fractions ; water management ; contamination ; integrated water resources management ; groundwater ; pollution ; Sub-Saharan Africa ; transition management ; water safety plan ; aquifer management ; water governance ; irrigation ; unauthorized use ; barbate river basin ; biocalcarenites ; remote sensing ; citizen surveys ; artificial neural network (ANN) ; chemical oxygen demand (COD) ; wastewater treatment plant (WWTP) ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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