AI applications for business, medical, and agricultural sustainability:
"Climate change, natural resource depletion, and unsustainable agricultural practices pose unprecedented challenges to our planet. The increasing environmental footprint of computer networks, communication systems, and other IT infrastructures exacerbates these issues, contributing significantl...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Climate change, natural resource depletion, and unsustainable agricultural practices pose unprecedented challenges to our planet. The increasing environmental footprint of computer networks, communication systems, and other IT infrastructures exacerbates these issues, contributing significantly to energy consumption and greenhouse gas emissions. Without innovative solutions, these challenges will continue to escalate, threatening the sustainability of our planet for future generations.AI Applications for Business, Medical, and Agricultural Sustainability offers a comprehensive solution by harnessing the power of Artificial Intelligence (AI) and High-Performance Computing (HPC). This book is ideal for educators, environmentalists, industry professionals, researchers, and academics. By introducing new energy models, algorithms, and methodologies, the book provides a roadmap for developing next-generation computing and communication infrastructures that are environmentally sustainable."-- |
| Beschreibung: | 17 PDFs (322 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369352687 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 246 | 3 | |a Artificial intelligence applications for business, medical, and agricultural sustainability | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 17 PDFs (322 pages) | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Applications of artificial intelligence in environmental resource business management and sustainability -- Chapter 2. Applications of artificial intelligence in sustainable supply chain management in the medical sector -- Chapter 3. Applications of high performance computing and AI in green digital marketing -- Chapter 4. Artificial intelligence and the internet of things-enabled smart agriculture for the modern era -- Chapter 5. Internet of things for smart agriculture: a Survey -- Chapter 6. Data visualization techniques in smart agriculture implementation -- Chapter 7. Role of data visualization and big data analytics in smart agriculture -- Chapter 8. Sensor-based intelligent recommender systems for agricultural activities -- Chapter 9. Smart sensor-based smart agriculture for better crop production in this smart era -- Chapter 10. Predicting weather conditions using machine learning for improving crop production. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Climate change, natural resource depletion, and unsustainable agricultural practices pose unprecedented challenges to our planet. The increasing environmental footprint of computer networks, communication systems, and other IT infrastructures exacerbates these issues, contributing significantly to energy consumption and greenhouse gas emissions. Without innovative solutions, these challenges will continue to escalate, threatening the sustainability of our planet for future generations.AI Applications for Business, Medical, and Agricultural Sustainability offers a comprehensive solution by harnessing the power of Artificial Intelligence (AI) and High-Performance Computing (HPC). This book is ideal for educators, environmentalists, industry professionals, researchers, and academics. By introducing new energy models, algorithms, and methodologies, the book provides a roadmap for developing next-generation computing and communication infrastructures that are environmentally sustainable."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 03/08/2024). | ||
| 650 | 0 | |a Artificial intelligence |x Economic aspects. | |
| 650 | 0 | |a Sustainable development. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Naim, Arshi, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
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| contents | Chapter 1. Applications of artificial intelligence in environmental resource business management and sustainability -- Chapter 2. Applications of artificial intelligence in sustainable supply chain management in the medical sector -- Chapter 3. Applications of high performance computing and AI in green digital marketing -- Chapter 4. Artificial intelligence and the internet of things-enabled smart agriculture for the modern era -- Chapter 5. Internet of things for smart agriculture: a Survey -- Chapter 6. Data visualization techniques in smart agriculture implementation -- Chapter 7. Role of data visualization and big data analytics in smart agriculture -- Chapter 8. Sensor-based intelligent recommender systems for agricultural activities -- Chapter 9. Smart sensor-based smart agriculture for better crop production in this smart era -- Chapter 10. Predicting weather conditions using machine learning for improving crop production. |
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| dewey-full | 303.48/34 |
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| dewey-ones | 303 - Social processes |
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| dewey-search | 303.48/34 |
| dewey-sort | 3303.48 234 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00339682 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:52:00Z |
| institution | BVB |
| isbn | 9798369352687 |
| language | English |
| oclc_num | 1425976769 |
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| physical | 17 PDFs (322 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | AI applications for business, medical, and agricultural sustainability Arshi Naim, editor. Artificial intelligence applications for business, medical, and agricultural sustainability Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 17 PDFs (322 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Applications of artificial intelligence in environmental resource business management and sustainability -- Chapter 2. Applications of artificial intelligence in sustainable supply chain management in the medical sector -- Chapter 3. Applications of high performance computing and AI in green digital marketing -- Chapter 4. Artificial intelligence and the internet of things-enabled smart agriculture for the modern era -- Chapter 5. Internet of things for smart agriculture: a Survey -- Chapter 6. Data visualization techniques in smart agriculture implementation -- Chapter 7. Role of data visualization and big data analytics in smart agriculture -- Chapter 8. Sensor-based intelligent recommender systems for agricultural activities -- Chapter 9. Smart sensor-based smart agriculture for better crop production in this smart era -- Chapter 10. Predicting weather conditions using machine learning for improving crop production. Restricted to subscribers or individual electronic text purchasers. "Climate change, natural resource depletion, and unsustainable agricultural practices pose unprecedented challenges to our planet. The increasing environmental footprint of computer networks, communication systems, and other IT infrastructures exacerbates these issues, contributing significantly to energy consumption and greenhouse gas emissions. Without innovative solutions, these challenges will continue to escalate, threatening the sustainability of our planet for future generations.AI Applications for Business, Medical, and Agricultural Sustainability offers a comprehensive solution by harnessing the power of Artificial Intelligence (AI) and High-Performance Computing (HPC). This book is ideal for educators, environmentalists, industry professionals, researchers, and academics. By introducing new energy models, algorithms, and methodologies, the book provides a roadmap for developing next-generation computing and communication infrastructures that are environmentally sustainable."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 03/08/2024). Artificial intelligence Economic aspects. Sustainable development. Electronic books. Naim, Arshi, editor. IGI Global, publisher. Print version: 9798369352663 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5266-3 Volltext |
| spellingShingle | AI applications for business, medical, and agricultural sustainability Chapter 1. Applications of artificial intelligence in environmental resource business management and sustainability -- Chapter 2. Applications of artificial intelligence in sustainable supply chain management in the medical sector -- Chapter 3. Applications of high performance computing and AI in green digital marketing -- Chapter 4. Artificial intelligence and the internet of things-enabled smart agriculture for the modern era -- Chapter 5. Internet of things for smart agriculture: a Survey -- Chapter 6. Data visualization techniques in smart agriculture implementation -- Chapter 7. Role of data visualization and big data analytics in smart agriculture -- Chapter 8. Sensor-based intelligent recommender systems for agricultural activities -- Chapter 9. Smart sensor-based smart agriculture for better crop production in this smart era -- Chapter 10. Predicting weather conditions using machine learning for improving crop production. Artificial intelligence Economic aspects. Sustainable development. |
| title | AI applications for business, medical, and agricultural sustainability |
| title_alt | Artificial intelligence applications for business, medical, and agricultural sustainability |
| title_auth | AI applications for business, medical, and agricultural sustainability |
| title_exact_search | AI applications for business, medical, and agricultural sustainability |
| title_full | AI applications for business, medical, and agricultural sustainability Arshi Naim, editor. |
| title_fullStr | AI applications for business, medical, and agricultural sustainability Arshi Naim, editor. |
| title_full_unstemmed | AI applications for business, medical, and agricultural sustainability Arshi Naim, editor. |
| title_short | AI applications for business, medical, and agricultural sustainability |
| title_sort | ai applications for business medical and agricultural sustainability |
| topic | Artificial intelligence Economic aspects. Sustainable development. |
| topic_facet | Artificial intelligence Economic aspects. Sustainable development. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5266-3 |
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