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dc.contributor.editorFuentes, Sigfredo
dc.contributor.editorUnnithan, Ranjith R
dc.contributor.editorTongson, Eden
dc.contributor.editorLipovetzky, Nir
dc.date.accessioned2022-02-24T10:36:15Z
dc.date.available2022-02-24T10:36:15Z
dc.date.issued2022
dc.identifierONIX_20220224_9783036529059_79
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/78781
dc.description.abstractThe implementation of artificial intelligence (AI), together with robotics, sensors, sensor networks, Internet of Things (IoT), and machine/deep learning modeling, has reached the forefront of research activities, moving towards the goal of increasing the efficiency in a multitude of applications and purposes related to environmental sciences. The development and deployment of AI tools requires specific considerations, approaches, and methodologies for their effective and accurate applications. This Special Issue focused on the applications of AI to environmental systems related to hazard assessment in urban, agriculture, and forestry areas.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.othermachine learning
dc.subject.otherartificial neural networks
dc.subject.otherrandom forests
dc.subject.otherwater network pollution
dc.subject.othersensor networks
dc.subject.otherparallel computing
dc.subject.otherheat stress
dc.subject.otheranimal welfare
dc.subject.otherclimate change
dc.subject.otherautomation
dc.subject.othersmoke taint
dc.subject.otherremote sensing
dc.subject.othernear-infrared spectroscopy
dc.subject.othervolatile phenols
dc.subject.otherelectronic nose
dc.subject.otherwine sensory
dc.subject.othersmart village
dc.subject.othersmart agriculture
dc.subject.otherclimate-smart agriculture
dc.subject.othertechnology
dc.subject.othersustainability
dc.subject.otherskin temperature
dc.subject.otherartificial intelligence
dc.subject.otherheart rate
dc.subject.otherrespiration rate
dc.subject.otherGIS
dc.subject.otherMarkov chain
dc.subject.otherland use
dc.subject.otherurban information
dc.subject.otherTabriz City
dc.subject.otherwater distribution networks
dc.subject.otherwater network contamination
dc.subject.otherrandom forest
dc.subject.otherneural network
dc.subject.otherurban tree management
dc.subject.othertree monitoring
dc.subject.othercomputer vision
dc.subject.othertree water stress index
dc.subject.otherleaf area index
dc.subject.othervolatile compounds
dc.subject.otherphotosynthesis modeling
dc.subject.otherplant water status modeling
dc.subject.othern/a
dc.titleImplementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-2905-9
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036529059
oapen.relation.isbn9783036529042
oapen.pages206
oapen.place.publicationBasel


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