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220822 ||| eng |
| 020 |
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|a 9783036529059
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|a 9783036529042
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|a books978-3-0365-2905-9
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| 100 |
1 |
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|a Fuentes, Sigfredo
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| 245 |
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0 |
|a Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems
|h Elektronische Ressource
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| 260 |
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|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2022
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| 300 |
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|a 1 electronic resource (206 p.)
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| 653 |
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|a machine learning
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| 653 |
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|a climate-smart agriculture
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| 653 |
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|a skin temperature
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| 653 |
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|a water network pollution
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| 653 |
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|a random forest
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| 653 |
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|a wine sensory
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| 653 |
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|a technology
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| 653 |
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|a n/a
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| 653 |
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|a tree monitoring
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| 653 |
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|a volatile compounds
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| 653 |
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|a Markov chain
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| 653 |
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|a random forests
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| 653 |
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|a animal welfare
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| 653 |
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|a parallel computing
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| 653 |
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|a History of engineering and technology / bicssc
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| 653 |
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|a volatile phenols
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| 653 |
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|a automation
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| 653 |
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|a tree water stress index
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| 653 |
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|a respiration rate
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| 653 |
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|a GIS
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| 653 |
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|a smoke taint
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| 653 |
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|a sensor networks
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| 653 |
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|a water network contamination
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| 653 |
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|a leaf area index
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| 653 |
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|a urban tree management
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| 653 |
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|a near-infrared spectroscopy
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| 653 |
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|a electronic nose
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| 653 |
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|a heart rate
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| 653 |
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|a remote sensing
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| 653 |
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|a computer vision
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| 653 |
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|a artificial intelligence
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| 653 |
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|a Tabriz City
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| 653 |
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|a plant water status modeling
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| 653 |
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|a photosynthesis modeling
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| 653 |
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|a climate change
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| 653 |
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|a sustainability
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| 653 |
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|a artificial neural networks
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| 653 |
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|a smart village
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| 653 |
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|a urban information
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| 653 |
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|a heat stress
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| 653 |
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|a water distribution networks
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| 653 |
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|a smart agriculture
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| 653 |
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|a land use
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| 653 |
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|a neural network
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| 700 |
1 |
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|a Unnithan, Ranjith R
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| 700 |
1 |
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|a Tongson, Eden
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| 700 |
1 |
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|a Lipovetzky, Nir
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 024 |
8 |
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|a 10.3390/books978-3-0365-2905-9
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/4875
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/78781
|z DOAB: description of the publication
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| 082 |
0 |
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|a 900
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| 082 |
0 |
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|a 551.6
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| 082 |
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|a 000
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| 082 |
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|a 630
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| 082 |
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|a 580
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|a 361
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|a 700
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|a 600
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|a 620
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|a 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.
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