Vamdev pathak (5 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2024
- Hardcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
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EUR 178,43
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Zustand: New. In.
Sprache: Englisch
Verlag: Springer, 2025
- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
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EUR 158,00
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Taschenbuch. Zustand: Neu. Transforming Agricultural Management for a Sustainable Future | Climate Change and Machine Learning Perspectives | Shruti Kanga (u. a.) | Taschenbuch | World Sustainability Series | vii | Englisch | 2025 | Springer | EAN 9783031634321 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergarte…nstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, 2025
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 181,89
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives' is an essential read for anyone interested in the future of agriculture and the role that technology can play in mitigating the impact o…f climate change. The book delves into the challenges facing agriculture today, such as climate change, soil degradation, and water scarcity. It then explores how machine learning can be used to overcome these challenges and promote sustainable agricultural practices.One of the key takeaways from the book is the importance of data-driven decision-making in agriculture. With the help of machine learning algorithms, farmers can analyze vast amounts of data, such as weather patterns, soil quality, and crop yields, to make informed decisions about planting, irrigation, and fertilizer use. By using this data, farmers can optimize their yields while minimizing their impact on the environment.Another important aspect of the book is its focus on climate change. Agriculture is one of the largest contributors to greenhouse gas emissions, and farmers are already feeling the impact of climate change through droughts, floods, and other extreme weather events. The book provides a comprehensive overview of the ways in which machine learning can be used to reduce the impact of agriculture on the environment, such as by optimizing irrigation and reducing fertilizer use.The book also explores the role of technology in promoting sustainable agriculture practices. For example, precision agriculture techniques, such as GPS-guided tractors and drones, can help farmers reduce waste and improve crop yields. The book provides examples of how these techniques are already being used in practice, and how they can be further developed to promote sustainability.Overall, 'Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives' is an insightful and informative read for anyone interested in the future of agriculture. The book provides a comprehensive overview of the challenges facing agriculture today and the ways in which technology can be used to overcome these challenges and promote sustainable practices. It is a must-read for farmers, policymakers, and anyone interested in the future of our planet.
Sprache: Englisch
Verlag: Springer, Springer, 2024
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 181,89
EUR 63,18 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives' is an essential read for anyone interested in the future of agriculture and the role that technology can play in mitigating the impact of clima…te change. The book delves into the challenges facing agriculture today, such as climate change, soil degradation, and water scarcity. It then explores how machine learning can be used to overcome these challenges and promote sustainable agricultural practices.One of the key takeaways from the book is the importance of data-driven decision-making in agriculture. With the help of machine learning algorithms, farmers can analyze vast amounts of data, such as weather patterns, soil quality, and crop yields, to make informed decisions about planting, irrigation, and fertilizer use. By using this data, farmers can optimize their yields while minimizing their impact on the environment.Another important aspect of the book is its focus on climate change. Agriculture is one of the largest contributors to greenhouse gas emissions, and farmers are already feeling the impact of climate change through droughts, floods, and other extreme weather events. The book provides a comprehensive overview of the ways in which machine learning can be used to reduce the impact of agriculture on the environment, such as by optimizing irrigation and reducing fertilizer use.The book also explores the role of technology in promoting sustainable agriculture practices. For example, precision agriculture techniques, such as GPS-guided tractors and drones, can help farmers reduce waste and improve crop yields. The book provides examples of how these techniques are already being used in practice, and how they can be further developed to promote sustainability.Overall, 'Transforming Agricultural Management for a Sustainable Future: Climate Change and Machine Learning Perspectives' is an insightful and informative read for anyone interested in the future of agriculture. The book provides a comprehensive overview of the challenges facing agriculture today and the ways in which technology can be used to overcome these challenges and promote sustainable practices. It is a must-read for farmers, policymakers, and anyone interested in the future of our planet.
Sprache: Englisch
Verlag: Springer Nature, 2024
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 276,09
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Hardcover. Zustand: Brand New. 300 pages. 9.25x6.10x9.21 inches. In Stock.
