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...
Saved in:
| Other Authors: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "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."-- |
| Physical Description: | 17 PDFs (322 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9798369352687 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-98-IGB-00339682 | ||
| 003 | IGIG | ||
| 005 | 20240308134413.0 | ||
| 006 | m eo d | ||
| 007 | cr bn||||m|||a | ||
| 008 | 240308s2024 pau fob 001 0 eng d | ||
| 020 | |a 9798369352687 |q PDF | ||
| 020 | |z 9798369352663 |q print | ||
| 024 | 7 | |a 10.4018/979-8-3693-5266-3 |2 doi | |
| 035 | |a (CaBNVSL)slc00005675 | ||
| 035 | |a (OCoLC)1425976769 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a Q334.7 |b .A33 2024e | |
| 082 | 7 | |a 303.48/34 |2 23 | |
| 245 | 0 | 0 | |a AI applications for business, medical, and agricultural sustainability |c Arshi Naim, editor. |
| 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 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 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. | |
| 653 | |a AI Challenges in Environmental Preservation. | ||
| 653 | |a AI Ethics for Environmental Development. | ||
| 653 | |a AI for Climate Change Solutions. | ||
| 653 | |a AI for Sustainable Development Policies. | ||
| 653 | |a AI in Modeling and Simulation. | ||
| 653 | |a AI's Unintended Consequences for Earth. | ||
| 653 | |a Climate Science for Climate Neutrality. | ||
| 653 | |a Collaborative HPC and AI Environments. | ||
| 653 | |a Efficient and Sustainable Energy Use. | ||
| 653 | |a Energy Optimization in Smart Grids. | ||
| 653 | |a Environmental Sustainability in Computing. | ||
| 653 | |a Future Trends in Computing Resource Management. | ||
| 653 | |a Global Warming and Data Center Power Consumption. | ||
| 653 | |a Molecular Computing in Agriculture. | ||
| 653 | |a Sustainable Computing Lifecycle Principles. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Naim, Arshi |d 1976- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369352663 |
| 966 | 4 | 0 | |l DE-862 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5266-3 |3 Volltext |
| 966 | 4 | 0 | |l DE-863 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5266-3 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Record in the Search Index
| DE-BY-FWS_katkey | ZDB-98-IGB-00339682 |
|---|---|
| _version_ | 1826942603575164928 |
| adam_text | |
| any_adam_object | |
| author2 | Naim, Arshi 1976- |
| author2_role | edt |
| author2_variant | a n an |
| author_facet | Naim, Arshi 1976- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | Q - Science |
| callnumber-label | Q334 |
| callnumber-raw | Q334.7 .A33 2024e |
| callnumber-search | Q334.7 .A33 2024e |
| callnumber-sort | Q 3334.7 A33 42024E |
| callnumber-subject | Q - General Science |
| collection | ZDB-98-IGB |
| 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. |
| ctrlnum | (CaBNVSL)slc00005675 (OCoLC)1425976769 |
| dewey-full | 303.48/34 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 303 - Social processes |
| dewey-raw | 303.48/34 |
| dewey-search | 303.48/34 |
| dewey-sort | 3303.48 234 |
| dewey-tens | 300 - Social sciences |
| discipline | Soziologie |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04531nam a2200625 i 4500</leader><controlfield tag="001">ZDB-98-IGB-00339682</controlfield><controlfield tag="003">IGIG</controlfield><controlfield tag="005">20240308134413.0</controlfield><controlfield tag="006">m eo d </controlfield><controlfield tag="007">cr bn||||m|||a</controlfield><controlfield tag="008">240308s2024 pau fob 001 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9798369352687</subfield><subfield code="q">PDF</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9798369352663</subfield><subfield code="q">print</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/979-8-3693-5266-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaBNVSL)slc00005675</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1425976769</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">CaBNVSL</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">CaBNVSL</subfield><subfield code="d">CaBNVSL</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">Q334.7</subfield><subfield code="b">.A33 2024e</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">303.48/34</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">AI applications for business, medical, and agricultural sustainability </subfield><subfield code="c">Arshi Naim, editor.</subfield></datafield><datafield tag="246" ind1="3" ind2=" "><subfield code="a">Artificial intelligence applications for business, medical, and agricultural sustainability </subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) </subfield><subfield code="b">IGI Global</subfield><subfield code="c">2024.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">17 PDFs (322 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">electronic</subfield><subfield code="2">isbdmedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="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.</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Restricted to subscribers or individual electronic text purchasers.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="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."--</subfield><subfield code="c">Provided by publisher.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Also available in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: World Wide Web.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on title screen (IGI Global, viewed 03/08/2024).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield><subfield code="x">Economic aspects.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Sustainable development.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">AI Challenges in Environmental Preservation.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">AI Ethics for Environmental Development.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">AI for Climate Change Solutions.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">AI for Sustainable Development Policies.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">AI in Modeling and Simulation.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">AI's Unintended Consequences for Earth.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Climate Science for Climate Neutrality.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Collaborative HPC and AI Environments.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Efficient and Sustainable Energy Use.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Energy Optimization in Smart Grids.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Environmental Sustainability in Computing.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Future Trends in Computing Resource Management.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Global Warming and Data Center Power Consumption.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Molecular Computing in Agriculture.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Sustainable Computing Lifecycle Principles.</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Naim, Arshi</subfield><subfield code="d">1976-</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">IGI Global,</subfield><subfield code="e">publisher.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="z">9798369352663</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-862</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">FWS_PDA_IGB</subfield><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5266-3</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-863</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">FWS_PDA_IGB</subfield><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5266-3</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-98-IGB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-862</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00339682 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:38Z |
| institution | BVB |
| isbn | 9798369352687 |
| language | English |
| oclc_num | 1425976769 |
| open_access_boolean | |
| owner | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 17 PDFs (322 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB 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 Seiten) 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. AI Challenges in Environmental Preservation. AI Ethics for Environmental Development. AI for Climate Change Solutions. AI for Sustainable Development Policies. AI in Modeling and Simulation. AI's Unintended Consequences for Earth. Climate Science for Climate Neutrality. Collaborative HPC and AI Environments. Efficient and Sustainable Energy Use. Energy Optimization in Smart Grids. Environmental Sustainability in Computing. Future Trends in Computing Resource Management. Global Warming and Data Center Power Consumption. Molecular Computing in Agriculture. Sustainable Computing Lifecycle Principles. Electronic books. Naim, Arshi 1976- editor. IGI Global, publisher. Print version: 9798369352663 |
| 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. |
| work_keys_str_mv | AT naimarshi aiapplicationsforbusinessmedicalandagriculturalsustainability AT igiglobal aiapplicationsforbusinessmedicalandagriculturalsustainability AT naimarshi artificialintelligenceapplicationsforbusinessmedicalandagriculturalsustainability AT igiglobal artificialintelligenceapplicationsforbusinessmedicalandagriculturalsustainability |