Kumar Sajan (59 results)

Condition: As New. Unread book in perfect condition. KUMAR, SAJAN (illustrator).

Condition: New. KUMAR, SAJAN (illustrator).

Condition: New. KUMAR, SAJAN (illustrator).

Condition: As New. Unread book in perfect condition. KUMAR, SAJAN (illustrator).

Paperback. Condition: new. Paperback. What if just 30 days could change your life forever? "30 Days to a Better You" is not just a book-it's your personal roadmap to transformation.In one month, you'll discover how to: Break free from negative habits and replace them with powerful, lasting ones.Boost your confidence, energy, and mindset every single day.Build discipline, focus, and inner strength-without feeling overwhelmed.Create the best version of yourself in health, relationships, and success.Unlike typical self-help books, this is practical and actionable. Every day gives you one simple step-easy to follow, yet deeply life-changing. By the end of 30 days, you won't just feel better. you'll BE better.Whether you're a student, professional, entrepreneur, or anyone seeking growth, this book works for all ages, all backgrounds, all dreams. One book. 30 days. A lifetime of change. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. KUMAR, SAJAN (illustrator).…

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. KUMAR, SAJAN (illustrator).

Audio CD 27 songs, nine hours and 31 minutes of playing time. 8 CDS. Played only once. New.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. KUMAR, SAJAN (illustrator).

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

Condition: New.

Hardcover. Condition: new. Hardcover. 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. Food security is a critical global challenge, aiming to provide sufficient and healthy food for all. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

Condition: New.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Buch. Condition: 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.…

Condition: New. In English.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: 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. Condition: Brand New. 180 pages. 9.26x6.11x9.21 inches. In Stock.

Taschenbuch. Condition: 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. Condition: 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.…

Hardcover. Condition: new. Hardcover. 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. Food security is a critical global challenge, aiming to provide sufficient and healthy food for all. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. …

Condition: New. 2024th edition NO-PA16APR2015-KAP.

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

Condition: New.