Shevkani khetan (12 risultati)
Lingua: Inglese
Editore: Springer 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Transforming Agricultural Management for a Sustainable Future : Climate Change and Machine Learning Perspectives
Kanga, Shruti (EDT); Singh, Suraj Kumar (EDT); Shevkani, Khetan (EDT); Pathak, Vamdev (EDT); Sajan, Bhartendu (EDT)
Lingua: Inglese
Editore: Springer 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Transforming Agricultural Management for a Sustainable Future : Climate Change and Machine Learning Perspectives
Kanga, Shruti (EDT); Singh, Suraj Kumar (EDT); Shevkani, Khetan (EDT); Pathak, Vamdev (EDT); Sajan, Bhartendu (EDT)
Lingua: Inglese
Editore: Springer 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Springer 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 2024th edition NO-PA16APR2015-KAP.
Lingua: Inglese
Editore: Springer, Springer 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: 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 cl…imate 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.
Lingua: Inglese
Editore: Springer Nature 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 300 pages. 9.25x6.10x9.21 inches. In Stock.
Lingua: Inglese
Editore: Springer 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Switzerland|Springer 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: moluna, Greven, , Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 cl.
Lingua: Inglese
Editore: Springer, Springer Aug 2024 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 181,89
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'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 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. 312 pp. Englisch.
Lingua: Inglese
Editore: Springer, Birkhäuser Aug 2024 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'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 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 312 pp. Englisch.
Lingua: Inglese
Editore: Springer 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer 2024
Serie: World Sustainability, Libro 51 di 58. Libro 51 di 58 - World Sustainability
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
