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Constructed wetlands (CWs) are engineered phytoremediation ecotechnologies. Herein, the two main biotic components, namely, plants and the bacterial community, work synergistically to remove a wide range of pollutants from wastewater. CWs have been used as sole treatment systems or as integrated modules within other types of wastewater-treatment plants (WWTPs), e.g., as tertiary treatment units. This Special Issue and Book gathers and appraises recent research outcomes regarding natural wetlands (i.e., mangroves) and engineered wetlands (constructed/floating systems), and highlights the underlying pollutant-degradation pathways and mechanisms for a wide range of organic and inorganic contaminants.

Technology: general issues --- History of engineering & technology --- phytoremediation --- heavy metal --- aquatic plants --- floating aquatic plants --- wastewater treatment --- floating treatment wetlands --- Cyperus laevigatus L --- diesel oil --- plant-bacteria synergism --- toxicity --- bio-augmentation --- dye degradation --- bacteria --- Phragmites australis --- acetaminophen --- mangrove sediments --- biodegradation --- aerobic conditions --- anaerobic conditions --- water --- plants --- microbes --- pollutants --- textile effluent --- hydroponic root mats --- plant-bacteria partnership --- detergents --- wastewater --- livestock wastewater --- Typha latifolia L. --- V-SSF systems --- total nitrogen --- COD --- total suspended solids --- constructed wetlands --- agricultural runoff --- chemicals of emerging concern --- veterinary antibiotics --- antibiotic resistant genes --- n/a

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To promote scientific understanding of surface processes in East Asia, we have published details of the CMADS dataset in the journal, Water, and expect that users around the world will learn about CMADS datasets while promoting the development of hydrometeorological disciplines in East Asia. We hope and firmly believe that scientific development in East Asia and our understanding of this typical region will be further advanced.

sensitivity analysis --- non-point source pollution models --- reservoirs --- operation rule --- East Asia --- climate variability --- Qinghai-Tibet Plateau (TP) --- potential evapotranspiration --- precipitation --- capacity distribution --- GLUE --- soil temperature --- land use change --- JBR --- CFSR --- Jinsha River Basin --- impact --- runoff --- CMADS --- hydrological modeling --- aggregated reservoir --- reanalysis products --- Lijiang River --- spatio-temporal --- uncertainty --- total nitrogen --- Han River --- streamflow simulation --- meteorological --- CMADS-ST --- Erhai Lake Basin --- uncertainty analysis --- Biliuhe reservoir --- hydrological --- bayesian model averaging --- blue and green water flows --- SUFI-2 --- TMPA-3B42V7 --- statistical analysis --- satellite-derived rainfall --- streamflow --- satellite-based products --- Xiang River basin --- SWAT hydrological simulation --- PERSIANN-CDR --- hydrological processes --- SUFI2 --- CMADS dataset --- ParaSol --- hydrological modelling --- accumulation --- meteorological input uncertainty --- soil moisture content --- Yellow River --- SWAT --- Noah LSM-HMS --- sediment yield --- Yalong River --- TRMM --- Penman-Monteith --- IMERG --- PERSIANN --- hydrological elements --- freeze–thaw period --- land-use change --- parameter sensitivity --- China --- reservoir parameters --- soil moisture --- sloping black soil farmland --- hydrological model --- SWAT model --- hydrologic model

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This reprint is a continuation of our previous reprint “Sustainable agricultural, biological, and environmental engineering applications” [ISBN 978-3-0365-2921-9], which was published in January 2022. The reprint contains research and review works focused on agricultural engineering technologies and applications. In this regard, the reprint covers topics including agricultural storage, quality evaluation of fruits, evaporative cooling and desiccant systems, solar coffee roasting, solar yogurt processing, greenhouse environment, greenhouse ventilation, greenhouse thermal requirements, aquaculture production system, bioreactor landfill, waste management, fertilization reduction in agriculture, sustainable porous surfaces, simulation and modeling, artificial intelligence, and machine learning. Such agricultural engineering studies are urgently needed in the 21st century, particularly from the perspective of the agriculture–energy–food security nexus.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- greenhouse --- microclimate --- Bayesian optimization --- deep neural network --- roses yield --- Gaussian process --- gradient boosting --- pool boiling heat transfer coefficient --- sintered coated porous surfaces --- gaussian process --- gradient boosting regression trees --- response surface --- renovation index --- CFD simulation --- airflow --- evaporative cooling --- desiccant dehumidification --- agricultural storage --- air conditioning --- system performance --- lemon cordial --- microwave --- preservation --- green processing --- antioxidant potential --- renewable energy --- Scheffler concentrator reflector --- batch-type solar roaster --- response surface methodology --- coffee roasting --- municipal solid waste --- sanitary landfill --- open dumps --- waste to energy --- climate change --- yogurt processing --- solar energy --- solar-based heating and cooling --- thermal analysis --- vegetable yield --- nitrogen use efficiency --- nutrient leaching --- leaching-to-input ratio --- nitrogen fertilizer economic benefit --- environment --- eutrophication --- particulate fraction --- effluent --- treatment --- thermal screens --- heating demand --- TRNSYS --- greenhouse internal temperature --- building energy simulation --- longwave radiation --- soil total nitrogen --- BP neural network --- support vector machines --- spatial distribution --- remote sensing

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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.

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

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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.

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