9781041068273 - multimodal artificial intelligence in precision agriculture: practices, challenges, and applications (17 risultati)
Multimodal Artificial Intelligence in Precision Agriculture : Practices, Challenges, and Applications
Sharma, Abhilasha (EDT); Rathi, Vishwas (EDT); Biswas, Anupam (EDT); Singh, Anil (EDT); Rana, Omer (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Multimodal Artificial Intelligence in Precision Agriculture : Practices, Challenges, and Applications
Sharma, Abhilasha (EDT); Rathi, Vishwas (EDT); Biswas, Anupam (EDT); Singh, Anil (EDT); Rana, Omer (EDT)
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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EUR 189,18
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Multimodal Artificial Intelligence in Precision Agriculture : Practices, Challenges, and Applications
Sharma, Abhilasha (EDT); Rathi, Vishwas (EDT); Biswas, Anupam (EDT); Singh, Anil (EDT); Rana, Omer (EDT)
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 179,72
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Multimodal Artificial Intelligence in Precision Agriculture: Practices, Challenges, and Applications
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Multimodal Artificial Intelligence in Precision Agriculture (Multimedia and Multimodal Intelligence)
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Da: California Books, Miami, FL, U.S.A.California Books
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Multimodal Artificial Intelligence in Precision Agriculture: Practices, Challenges, and Applications
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Multimodal Artificial Intelligence in Precision Agriculture : Practices, Challenges, and Applications
Sharma, Abhilasha (EDT); Rathi, Vishwas (EDT); Biswas, Anupam (EDT); Singh, Anil (EDT); Rana, Omer (EDT)
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 201,13
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Condizione: New.
Multimodal Artificial Intelligence in Precision Agriculture: Practices, Challenges, and Applications
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.
Multimodal Artificial Intelligence in Precision Agriculture: Practices, Challenges, and Applications
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Abhilasha Sharma is currently working as an assistant professor, in the Department of Computer Engineering, at National institute of Technology, Kurukshetra, India. She has published research papers and articles in high-impact journals and international .
Multimodal Artificial Intelligence in Precision Agriculture: Practices, Challenges, and Applications
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 262,12
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Hardcover. Condizione: Brand New. 336 pages. 9.18x6.12x9.45 inches. In Stock.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 273,00
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Buch. Condizione: Neu. Neuware - This book highlights the integration of cloud, edge, and network computing for sustainable farming and future trends in smart farming, including the role of UAVs, 5G, and advanced artificial intelligence. It covers the use of real¿time environmental data for forecasting and tracking agricultural…products and livestock health monitoring.Key Features - Offers a detailed exploration of the integration of Internet of Things, artificial intelligence, and multimodal intelligence in precision agriculture, covering a wide range of applications from crop management to livestock monitoring - Identifies and discusses the challenges of using artificial intelligence and multimodal data in agriculture, providing solutions and techniques to overcome these obstacles - Discusses advanced technologies like multispectral and hyperspectral imaging, Internet of Things sensors, and data fusion techniques - Highlights emerging trends and future directions in smart farming, including UAVs, 5G, cloud¿edge continuum integration, and federated learning - Includes case studies and practical examples demonstrating successful applications of multimodal artificial intelligence in precision farming The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science engineering, agricultural engineering, and information technology.
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- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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Hardcover. Condizione: new. Hardcover. This book highlights the integration of cloud, edge, and network computing for sustainable farming and future trends in smart farming, including the role of UAVs, 5G, and advanced artificial intelligence. It covers the use of realtime environmental data for forecasting and tracking agricult…ural products and livestock health monitoring.Key FeaturesOffers a detailed exploration of the integration of Internet of Things, artificial intelligence, and multimodal intelligence in precision agriculture, covering a wide range of applications from crop management to livestock monitoringIdentifies and discusses the challenges of using artificial intelligence and multimodal data in agriculture, providing solutions and techniques to overcome these obstaclesDiscusses advanced technologies like multispectral and hyperspectral imaging, Internet of Things sensors, and data fusion techniquesHighlights emerging trends and future directions in smart farming, including UAVs, 5G, cloudedge continuum integration, and federated learningIncludes case studies and practical examples demonstrating successful applications of multimodal artificial intelligence in precision farmingThe text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science engineering, agricultural engineering, and information technology. The text presents various methods for applying machine learning and deep learning techniques to heterogeneous agricultural data and incorporating advanced Internet of Things-enabled technologies for web and mobile based applications for crop lifecycle tracking. 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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- Print on Demand
Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 183,46
EUR 31,69 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. This book highlights the integration of cloud, edge, and network computing for sustainable farming and future trends in smart farming, including the role of UAVs, 5G, and advanced artificial intelligence. It covers the use of realtime environmental data for forecasting and tracking agricult…ural products and livestock health monitoring.Key FeaturesOffers a detailed exploration of the integration of Internet of Things, artificial intelligence, and multimodal intelligence in precision agriculture, covering a wide range of applications from crop management to livestock monitoringIdentifies and discusses the challenges of using artificial intelligence and multimodal data in agriculture, providing solutions and techniques to overcome these obstaclesDiscusses advanced technologies like multispectral and hyperspectral imaging, Internet of Things sensors, and data fusion techniquesHighlights emerging trends and future directions in smart farming, including UAVs, 5G, cloudedge continuum integration, and federated learningIncludes case studies and practical examples demonstrating successful applications of multimodal artificial intelligence in precision farmingThe text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science engineering, agricultural engineering, and information technology. The text presents various methods for applying machine learning and deep learning techniques to heterogeneous agricultural data and incorporating advanced Internet of Things-enabled technologies for web and mobile based applications for crop lifecycle tracking. 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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- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 221,37
EUR 43,10 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. This book highlights the integration of cloud, edge, and network computing for sustainable farming and future trends in smart farming, including the role of UAVs, 5G, and advanced artificial intelligence. It covers the use of realtime environmental data for forecasting and tracking agricult…ural products and livestock health monitoring.Key FeaturesOffers a detailed exploration of the integration of Internet of Things, artificial intelligence, and multimodal intelligence in precision agriculture, covering a wide range of applications from crop management to livestock monitoringIdentifies and discusses the challenges of using artificial intelligence and multimodal data in agriculture, providing solutions and techniques to overcome these obstaclesDiscusses advanced technologies like multispectral and hyperspectral imaging, Internet of Things sensors, and data fusion techniquesHighlights emerging trends and future directions in smart farming, including UAVs, 5G, cloudedge continuum integration, and federated learningIncludes case studies and practical examples demonstrating successful applications of multimodal artificial intelligence in precision farmingThe text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science engineering, agricultural engineering, and information technology. The text presents various methods for applying machine learning and deep learning techniques to heterogeneous agricultural data and incorporating advanced Internet of Things-enabled technologies for web and mobile based applications for crop lifecycle tracking. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
