Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems

• Altri autori: Fuentes, Sigfredo (Redattore), Unnithan, Ranjith R (Redattore), Tongson, Eden (Redattore), Lipovetzky, Nir (Redattore)
• Natura: Elettronico Capitolo di libro
• Lingua: inglese
• Pubblicazione: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Soggetti: History of engineering & technology; machine learning; artificial neural networks; random forests; water network pollution; sensor networks; parallel computing; heat stress; animal welfare; climate change; automation; smoke taint; remote sensing; near-infrared spectroscopy; volatile phenols; electronic nose; wine sensory; smart village; smart agriculture; climate-smart agriculture; technology; sustainability; skin temperature; artificial intelligence; heart rate; respiration rate; GIS; Markov chain; land use; urban information; Tabriz City; water distribution networks; water network contamination; random forest; neural network; urban tree management; tree monitoring; computer vision; tree water stress index; leaf area index; volatile compounds; photosynthesis modeling; plant water status modeling; n/a
• Accesso online: DOAB: download the publication; DOAB: description of the publication

The 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 an...