Kumar sajan (16 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. KUMAR, SAJAN (illustrator).

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. KUMAR, SAJAN (illustrator).

Taschenbuch. Zustand: Neu. Neuware - ? What if just 30 days could change your life forever. KUMAR, SAJAN (illustrator).

Paperback. Zustand: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: Neu. Tribo-Corrosive Behaviour of Various Biodiesel | Studies on Tribo-Corrosive Behaviour of Various Biodiesel to Optimize its Blend with Diesel for CI Engine Applications | Sajan Kumar Chourasia | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786205508664 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Food security is a critical global challenge, aiming to provide sufficient and healthy food for all. The United Nations has set Sustainable Development Goals (SDGs) to achieve global prosperity while ensuring environmental protection. Machine learning (ML) techniques play a crucial role in understanding and predicting food security. Key applications include cropland mapping, crop type identification, yield prediction, and field delineation. Challenges include handling complex data and ensuring rigorous evaluation. Looking ahead, advanced techniques such as AI and interdisciplinary collaborations will drive progress toward a hunger-free and sustainable future.This book concentrates on the fundamentals and uses of environment science perspective on Food security using cutting-edge methods of spatial information and artificial intelligence. Experts and researchers in the fields of agriculture, environmental science and engineering, disaster management, remote sensing, and geographic information systems have contributed to this volume.…

Zustand: New. In English.

Zustand: New.

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 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.…

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 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.…

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, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Hardcover. Zustand: Brand New. 180 pages. 9.26x6.11x9.21 inches. In Stock.

Hardcover. Zustand: Brand New. 300 pages. 9.25x6.10x9.21 inches. In Stock.

Zustand: New.

Zustand: New.