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Suraj Kumar Gupta (26 results)
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Campus to Career
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 30.89
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Campus to Career : Landscape and Trajectory: A Frame Book for engineering Professionals
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Hardcover. Condition: New. ISBN:9789390175161.
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Agri-informatics and Eco-friendly Innovations for a Secure Food Future (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2026
ISBN 10: 3032021170 ISBN 13: 9783032021175
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.
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US$ 181.53
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Add to basketHardcover. Condition: Brand New. 150 pages. 9.25x6.10 inches. In Stock.
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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.
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Add to basketHardcover. Condition: Brand New. 180 pages. 9.26x6.11x9.21 inches. In Stock.
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Doubling Farmers Income Through Animal Husbandry
Language: English
Published by New India Publishing Agency, 2021
ISBN 10: 939017516X ISBN 13: 9789390175161
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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Doubling Farmers Income Through Animal Husbandry
Language: English
Published by MPNPA New India Publishing Agency NIPA, 2021
ISBN 10: 939017516X ISBN 13: 9789390175161
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Add to basketHardcover. Condition: Brand New. 272 pages. 0.83x9.02x5.98 inches. In Stock.
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Doubling Farmers Income Through Animal Husbandry
Language: English
Published by New India Publishing Agency, 2021
ISBN 10: 939017516X ISBN 13: 9789390175161
Condition: New. 2021. hardcover. . . . . . Books ship from the US and Ireland.
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Add to basketHardcover. Condition: Brand New. 180 pages. 9.26x6.11x9.21 inches. In Stock. This item is printed on demand.
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Agri-informatics and Eco-friendly Innovations for a Secure Food Future (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2026
ISBN 10: 3032021170 ISBN 13: 9783032021175
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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Agri-informatics and Eco-friendly Innovations for a Secure Food Future
Language: English
Published by Springer, Berlin, Springer, 2026
ISBN 10: 3032021170 ISBN 13: 9783032021175
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 430 pp. Englisch.
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Agri-Informatics and Eco-Friendly Innovations for a Secure Food Future
Language: English
Published by Springer Verlag GmbH, 2026
ISBN 10: 3032021170 ISBN 13: 9783032021175
US$ 151.16
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Buch. Condition: Neu. Agri-informatics and Eco-friendly Innovations for a Secure Food Future | Suraj Kumar Singh (u. a.) | Buch | vii | Englisch | 2026 | Springer | EAN 9783032021175 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Agri-informatics and Eco-friendly Innovations for a Secure Food Future (Hardcover)
Language: English
Published by Springer Nature Switzerland AG, Cham, 2026
ISBN 10: 3032021170 ISBN 13: 9783032021175
US$ 190.60
US$ 50.17 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Agri-informatics and Eco-friendly Innovations for a Secure Food Future
Language: English
Published by Springer, Springer Jan 2026, 2026
ISBN 10: 3032021170 ISBN 13: 9783032021175
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 440 pp. Englisch.
