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

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

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...

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Bibliographic Details
Other Authors: Fuentes, Sigfredo (Editor), Unnithan, Ranjith R (Editor), Tongson, Eden (Editor), Lipovetzky, Nir (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
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
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Summary: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 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.
Physical Description:1 electronic resource (206 p.)
ISBN:books978-3-0365-2905-9
9783036529059
9783036529042
Access:Open Access

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