Language: English
Published by Daya Publishing House, 2025
ISBN 10: 9354619576 ISBN 13: 9789354619571
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Language: English
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032855339 ISBN 13: 9781032855332
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Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659220426 ISBN 13: 9783659220425
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Language: English
Published by Lap Lambert Academic Publishing, 2012
ISBN 10: 3659225479 ISBN 13: 9783659225475
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Published by LAP Lambert Academic Publishing, 2012
ISBN 10: 3659220426 ISBN 13: 9783659220425
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Taschenbuch. Condition: Neu. Image Receptors in Radiology | Image receptors | Siddharth Kumar Singh (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659220425 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Language: English
Published by Lap Lambert Academic Publishing, 2012
ISBN 10: 3659220426 ISBN 13: 9783659220425
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Add to basketCondition: New. Dr. Siddharth Singh Chouhan is currently working as a Senior Assistant Professor Grade 2 in the School of Computing Science and Engineering, VIT Bhopal University, Sehore, India. He has a B.Tech. (with Honours) 2010, an MTech (with Honours), 2013 .
Language: English
Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659225479 ISBN 13: 9783659225475
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Language: English
Published by Taylor & Francis Ltd Jul 2026, 2026
ISBN 10: 1041144121 ISBN 13: 9781041144120
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Buch. Condition: Neu. Neuware - Agriculture is going through a technology renaissance with deep learning leading the way. This volume addresses how advanced AI methods are transforming the future of farming, food systems, and environmental sustainability. It is forward-looking guide to integrating smart systems in agriculture across all scales - from soil to satellite. The volume comprises contributions from international leaders in AI, agronomy, genomics, remote sensing, and robotics. It addresses a broad array of emerging topics, such as autonomous farming systems, UAVs, and deep reinforcement learning for field operations; computer vision and hybrid models for crop, weed, and livestock detection; and advanced edge and federated learning approaches to real-time, privacy-conscious decision-making. It also discusses explainable AI for transparent agricultural models, deep learning in crop genomics and trait prediction, biodiversity monitoring, and time-series forecasting of pests and climate stress. Generative AI for generating synthetic agricultural data and simulating digital farms with AR/VR and digital twins are also covered. With a focus on climate-smart agriculture, the book addresses the role that deep learning can play in promoting resilient, adaptive, and sustainable food systems under climate change and food insecurity globally. It concludes with an examination of the ethical, regulatory, and policy issues, presenting a vision for inclusive, human-centric AI in agriculture.Key Features: - Integrates autonomous agriculture, explainable artificial intelligence, edge/federated learning, genomics of crops, and biodiversity monitoring. - Highlights climate-resilient agriculture and future-proof simulations. - Incorporates real-world applications, case studies, and multidisciplinary viewpoints. - Connects AI research, policy, and ethics with agricultural adoption.
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Taschenbuch. Condition: Neu. Emerging Modalities in Mitigation of Antimicrobial Resistance | Nadeem Akhtar (u. a.) | Taschenbuch | xii | Englisch | 2023 | Springer | EAN 9783030841287 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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