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...
שמור ב:
| פורמט: | Online |
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| שפה: | אנגלית |
| יצא לאור: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| נושאים: | |
| גישה מקוונת: | ONIX_20220224_9783036529059_79 |
| תגים: |
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
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| _version_ | 1869528291990306816 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-78781 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-787812024-04-11T15:10:33Z Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems Fuentes, Sigfredo Unnithan, Ranjith R Tongson, Eden Lipovetzky, Nir 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2022-02-24T10:36:15Z 2022-02-24T10:36:15Z 2022 book ONIX_20220224_9783036529059_79 9783036529059 9783036529042 https://directory.doabooks.org/handle/20.500.12854/78781 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4875 https://mdpi.com/books/pdfview/book/4875 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-2905-9 10.3390/books978-3-0365-2905-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036529059 9783036529042 206 Basel open access |
| spellingShingle | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems |
| title | Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems |
| title_full | Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems |
| title_fullStr | Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems |
| title_full_unstemmed | Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems |
| title_short | Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems |
| title_sort | implementation of sensors and artificial intelligence for environmental hazards assessment in urban agriculture and forestry systems |
| topic | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20220224_9783036529059_79 |