Handbook of research on AI-equipped IoT applications in high-tech agriculture:
The agriculture industry is facing significant challenges in meeting the increasing demand for food while also ensuring sustainable development. Traditional agricultural methods are not equipped to meet the demands of the modern world. To overcome these challenges, the Handbook of Research on AI-Equ...
Gespeichert in:
Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershe PA, USA
IGI Global
[2023]
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Schriftenreihe: | Advances in Environmental Engineering and Green Technologies (AEEGT)
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Schlagworte: | |
Online-Zugang: | DE-91 DE-706 DE-83 DE-898 DE-1050 URL des Erstveröffentlichers |
Zusammenfassung: | The agriculture industry is facing significant challenges in meeting the increasing demand for food while also ensuring sustainable development. Traditional agricultural methods are not equipped to meet the demands of the modern world. To overcome these challenges, the Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture provides an in-depth analysis of the opportunities and challenges for AI-powered management tools and IoT-equipped techniques for the high-tech agricultural ecosystem. The Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture explores advanced methodologies, models, techniques, technologies, and applications along with the concepts of real-time supporting systems to help agricultural producers adjust plans or schedules for taking care of their farms. Additionally, it discusses the role of IoT technologies and AI applications in agricultural ecosystems and their potential to improve product quality and market competitiveness. The book includes discussions on the application of blockchain, biotechnology, drones, robotics, data analytics, and visualization in high-tech agriculture. It is an essential reference for anyone interested in the future of high-tech agriculture, including agricultural analysts, investment analysts, scholars, researchers, academics, professionals, engineers, and students. |
Beschreibung: | 1 Online-Ressource (xxxvii, 473 Seiten) Illustrationen, Diagramme |
ISBN: | 9781668492338 |
DOI: | 10.4018/978-1-6684-9231-4 |
Internformat
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520 | |a The agriculture industry is facing significant challenges in meeting the increasing demand for food while also ensuring sustainable development. Traditional agricultural methods are not equipped to meet the demands of the modern world. To overcome these challenges, the Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture provides an in-depth analysis of the opportunities and challenges for AI-powered management tools and IoT-equipped techniques for the high-tech agricultural ecosystem. The Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture explores advanced methodologies, models, techniques, technologies, and applications along with the concepts of real-time supporting systems to help agricultural producers adjust plans or schedules for taking care of their farms. Additionally, it discusses the role of IoT technologies and AI applications in agricultural ecosystems and their potential to improve product quality and market competitiveness. The book includes discussions on the application of blockchain, biotechnology, drones, robotics, data analytics, and visualization in high-tech agriculture. It is an essential reference for anyone interested in the future of high-tech agriculture, including agricultural analysts, investment analysts, scholars, researchers, academics, professionals, engineers, and students. | ||
650 | 4 | |a Artificial intelligence |x Agricultural applications | |
650 | 4 | |a Agricultural biotechnology | |
650 | 4 | |a Agricultural innovations | |
650 | 4 | |a Agriculture |x Technology transfer | |
650 | 4 | |a Internet of things | |
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discipline_str_mv | Informatik Wirtschaftswissenschaften |
doi_str_mv | 10.4018/978-1-6684-9231-4 |
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id | DE-604.BV049300964 |
illustrated | Illustrated |
index_date | 2024-07-03T22:39:09Z |
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institution | BVB |
isbn | 9781668492338 |
language | English |
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physical | 1 Online-Ressource (xxxvii, 473 Seiten) Illustrationen, Diagramme |
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series2 | Advances in Environmental Engineering and Green Technologies (AEEGT) |
spelling | Handbook of research on AI-equipped IoT applications in high-tech agriculture Alex Khang (Global Research Institute of Technology and Engineering, USA) Hershe PA, USA IGI Global [2023] 1 Online-Ressource (xxxvii, 473 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Advances in Environmental Engineering and Green Technologies (AEEGT) The agriculture industry is facing significant challenges in meeting the increasing demand for food while also ensuring sustainable development. Traditional agricultural methods are not equipped to meet the demands of the modern world. To overcome these challenges, the Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture provides an in-depth analysis of the opportunities and challenges for AI-powered management tools and IoT-equipped techniques for the high-tech agricultural ecosystem. The Handbook of Research on AI-Equipped IoT Applications in High-Tech Agriculture explores advanced methodologies, models, techniques, technologies, and applications along with the concepts of real-time supporting systems to help agricultural producers adjust plans or schedules for taking care of their farms. Additionally, it discusses the role of IoT technologies and AI applications in agricultural ecosystems and their potential to improve product quality and market competitiveness. The book includes discussions on the application of blockchain, biotechnology, drones, robotics, data analytics, and visualization in high-tech agriculture. It is an essential reference for anyone interested in the future of high-tech agriculture, including agricultural analysts, investment analysts, scholars, researchers, academics, professionals, engineers, and students. Artificial intelligence Agricultural applications Agricultural biotechnology Agricultural innovations Agriculture Technology transfer Internet of things Khang, Alex edt Erscheint auch als Druck-Ausgabe 1668492318 Erscheint auch als Druck-Ausgabe 9781668492314 https://doi.org/10.4018/978-1-6684-9231-4 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Handbook of research on AI-equipped IoT applications in high-tech agriculture Artificial intelligence Agricultural applications Agricultural biotechnology Agricultural innovations Agriculture Technology transfer Internet of things |
title | Handbook of research on AI-equipped IoT applications in high-tech agriculture |
title_auth | Handbook of research on AI-equipped IoT applications in high-tech agriculture |
title_exact_search | Handbook of research on AI-equipped IoT applications in high-tech agriculture |
title_exact_search_txtP | Handbook of research on AI-equipped IoT applications in high-tech agriculture |
title_full | Handbook of research on AI-equipped IoT applications in high-tech agriculture Alex Khang (Global Research Institute of Technology and Engineering, USA) |
title_fullStr | Handbook of research on AI-equipped IoT applications in high-tech agriculture Alex Khang (Global Research Institute of Technology and Engineering, USA) |
title_full_unstemmed | Handbook of research on AI-equipped IoT applications in high-tech agriculture Alex Khang (Global Research Institute of Technology and Engineering, USA) |
title_short | Handbook of research on AI-equipped IoT applications in high-tech agriculture |
title_sort | handbook of research on ai equipped iot applications in high tech agriculture |
topic | Artificial intelligence Agricultural applications Agricultural biotechnology Agricultural innovations Agriculture Technology transfer Internet of things |
topic_facet | Artificial intelligence Agricultural applications Agricultural biotechnology Agricultural innovations Agriculture Technology transfer Internet of things |
url | https://doi.org/10.4018/978-1-6684-9231-4 |
work_keys_str_mv | AT khangalex handbookofresearchonaiequippediotapplicationsinhightechagriculture |