Shukla anju (12 resultados)

Condición: New.

Condición: New.

Hardcover. Condición: Brand New. 436 pages. 6.14x1.00x9.21 inches. In Stock.

Gebundene Ausgabe. Condición: Neu. This book explores how deep learning and advanced AI are revolutionizing agriculture, from autonomous systems and UAVs to computer vision, genomics, and generative AI for synthetic data and digital twins. It emphasizes climate-smart, sustainable farming amid global challenges, while addressing ethics and policy for inclusive AI. Sprache: Englisch Gewicht in Gramm: 793.…

Hardcover. Condición: new. Hardcover. 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. This book explores how deep learning and advanced AI are revolutionizing agriculture, from autonomous systems and UAVs to computer vision, genomics, and generative AI for synthetic data and digital twins. It emphasizes climate-smart, sustainable farming amid global challenges, while addressing ethics and policy for inclusive AI. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: new. Hardcover. 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. This book explores how deep learning and advanced AI are revolutionizing agriculture, from autonomous systems and UAVs to computer vision, genomics, and generative AI for synthetic data and digital twins. It emphasizes climate-smart, sustainable farming amid global challenges, while addressing ethics and policy for inclusive AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores how deep learning and advanced AI are revolutionizing agriculture, from autonomous systems and UAVs to computer vision, genomics, and generative AI for synthetic data and digital twins. It emphasizes climate-smart, sustainable farming amid global challenges, while addressing ethics and policy for inclusive AI.…

Hardcover. Condición: new. Hardcover. 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. This book explores how deep learning and advanced AI are revolutionizing agriculture, from autonomous systems and UAVs to computer vision, genomics, and generative AI for synthetic data and digital twins. It emphasizes climate-smart, sustainable farming amid global challenges, while addressing ethics and policy for inclusive AI. 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.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 .…

Buch. Condición: Neu. Farming 5.0 | Deep Learning for Future-Generation Agriculture | Siddharth Singh Chouhan (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | CRC Press | EAN 9781041144120 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …