Next-Gen Smart Farming : Integrating AI, IoT, Digital Twin, and Robotics for Cyber-Physical Systems
Book Details
Format
Paperback / Softback
ISBN-10
0443439184
ISBN-13
9780443439186
Publisher
Elsevier Science Publishing Co Inc
Imprint
Academic Press Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 27th, 2026
Print length
308 Pages
Weight
654 grams
Dimensions
19.10 x 23.60 x 1.90 cms
Product Classification:
RoboticsAgricultural scienceComputer hardwareArtificial intelligenceArtificial intelligence (AI)
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Next-Gen Smart Farming presents a thorough, evidence-based assessment of using emerging physical and computerized systems designed to enhance agricultural efficiency. It balances demonstrated benefits with a clear articulation of potential risks.
The work surveys the entire pipeline, from sensing technologies and data collection to artificial intelligence and machine learning, spatial analysis, decision modeling, and automation. It highlights how these technologies can strengthen crop monitoring, yield forecasting, and farm management, while it also examines governance, equity, and ethical considerations essential for responsible deployment. Economic, environmental, and social impacts are analyzed, providing a comprehensive framework for evaluating trade-offs and outcomes in real-world contexts.
Framed as an interdisciplinary resource, the volume equips researchers, industry practitioners, extension specialists, and policymakers with practical methodologies, metrics, and narratives needed to implement scalable digital agriculture solutions that improve productivity, resilience, and sustainability across diverse real-world settings.
The work surveys the entire pipeline, from sensing technologies and data collection to artificial intelligence and machine learning, spatial analysis, decision modeling, and automation. It highlights how these technologies can strengthen crop monitoring, yield forecasting, and farm management, while it also examines governance, equity, and ethical considerations essential for responsible deployment. Economic, environmental, and social impacts are analyzed, providing a comprehensive framework for evaluating trade-offs and outcomes in real-world contexts.
Framed as an interdisciplinary resource, the volume equips researchers, industry practitioners, extension specialists, and policymakers with practical methodologies, metrics, and narratives needed to implement scalable digital agriculture solutions that improve productivity, resilience, and sustainability across diverse real-world settings.
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