Optimizing hydroponic systems using di pai aditya (9 risultati)
Optimizing Hydroponic Systems Using Digital Twins: Integrating IoT, AI, and Smart Farming Techniques
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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Optimizing Hydroponic Systems Using Digital Twins: Integrating IoT, AI, and Smart Farming Techniques
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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Optimizing Hydroponic Systems Using Digital Twins: Integrating IoT, AI, and Smart Farming Techniques
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Optimizing Hydroponic Systems Using Digital Twins: Integrating IoT, AI, and Smart Farming Techniques
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Paperback. Condizione: new. Paperback. In an era where sustainable agriculture is no longer a choice but a necessity, this book offers an innovative blueprint for revolutionizing hydroponic cultivation through the integration of Digital Twin technology, Artificial Intelligence, and Internet of Things (IoT) systems. Written with…a clear focus on practical application and academic rigor, this comprehensive guide explores how real-time sensor data, predictive modeling, and intelligent decision-making can elevate soilless farming to new heights.The book begins by introducing the foundations of hydroponics, outlining its significance in achieving food security in resource-constrained environments. It then builds toward the emerging role of digital twins-virtual replicas of physical systems-in modeling and simulating complex agricultural environments. Through case studies, simulations, and machine learning-based optimization models, readers gain insights into how environmental parameters such as pH, electrical conductivity (EC), temperature, and humidity can be dynamically controlled for maximum crop yield.Advanced algorithms such as Random Forests, AdaBoost, and Reinforcement Learning are explored for their effectiveness in predictive crop modeling and nutrient balancing. The book also explains how Simulink models, real-time dashboards, and sensor-driven automation can work together to create a resilient, adaptive farming ecosystem. By aligning smart agriculture with cloud computing, data analytics, and simulation environments, the work demonstrates the powerful synergy of engineering and agronomy.This book is ideal for: Researchers, engineers, and technologists exploring smart agriculture or digital twin implementationsAcademicians and postgraduate students in agricultural engineering, computer science, or environmental studiesAgritech startups and practitioners looking to modernize their cultivation methods using data-driven strategiesPolicy makers and sustainability advocates exploring scalable, eco-friendly farming modelsWith a future-forward perspective, this book bridges the gap between theory and real-world implementation-proving that the farms of tomorrow are being built today. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Paperback. Condizione: New.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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Paperback. Condizione: new. Paperback. In an era where sustainable agriculture is no longer a choice but a necessity, this book offers an innovative blueprint for revolutionizing hydroponic cultivation through the integration of Digital Twin technology, Artificial Intelligence, and Internet of Things (IoT) systems. Written with…a clear focus on practical application and academic rigor, this comprehensive guide explores how real-time sensor data, predictive modeling, and intelligent decision-making can elevate soilless farming to new heights.The book begins by introducing the foundations of hydroponics, outlining its significance in achieving food security in resource-constrained environments. It then builds toward the emerging role of digital twins-virtual replicas of physical systems-in modeling and simulating complex agricultural environments. Through case studies, simulations, and machine learning-based optimization models, readers gain insights into how environmental parameters such as pH, electrical conductivity (EC), temperature, and humidity can be dynamically controlled for maximum crop yield.Advanced algorithms such as Random Forests, AdaBoost, and Reinforcement Learning are explored for their effectiveness in predictive crop modeling and nutrient balancing. The book also explains how Simulink models, real-time dashboards, and sensor-driven automation can work together to create a resilient, adaptive farming ecosystem. By aligning smart agriculture with cloud computing, data analytics, and simulation environments, the work demonstrates the powerful synergy of engineering and agronomy.This book is ideal for: Researchers, engineers, and technologists exploring smart agriculture or digital twin implementationsAcademicians and postgraduate students in agricultural engineering, computer science, or environmental studiesAgritech startups and practitioners looking to modernize their cultivation methods using data-driven strategiesPolicy makers and sustainability advocates exploring scalable, eco-friendly farming modelsWith a future-forward perspective, this book bridges the gap between theory and real-world implementation-proving that the farms of tomorrow are being built today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
