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Data Driven Mathematical Modeling in Agriculture: Tools and Technologies (River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 5 out of 5 stars
hardcover. Condition: Fine.
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Condition: New.
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US$ 169.85
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Data Driven Mathematical Modeling in Agriculture: Tools and Technologies (River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 170.74
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Data Driven Mathematical Modeling in Agriculture : Tools and Technologies
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Data Driven Mathematical Modeling in Agriculture (Hardcover)
Published by River Publishers, Gistrup, 2024
ISBN 10: 8770041008 ISBN 13: 9788770041003
Language: English
Hardcover. Condition: new. Hardcover. The research in this book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers' choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models are utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies.Technical topics discussed in the book include:Precision agricultureMachine learningWireless sensor networksIoTDeep learning This book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Data Driven Mathematical Modeling in Agriculture : Tools and Technologies
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 177.99
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US$ 141.27
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Data Driven Mathematical Modeling in Agriculture: Tools and Technologies (River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering)
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
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US$ 196.29
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Data Driven Mathematical Modeling in Agriculture : Tools and Technologies
Published by River Publishers Aug 2024, 2024
ISBN 10: 8770041008 ISBN 13: 9788770041003
Language: English
US$ 188.49
Convert currencyUS$ 37.63 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketBuch. Condition: Neu. Neuware - This book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies.
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US$ 182.10
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Add to basketCondition: New. Sabyasachi Pramanik is a Professional IEEE member. He obtained a Ph.D. in Computer Science and Engineering from Sri Satya Sai University of Technology and Medical Sciences, Bhopal, India. Presently, he is an Associate Professor, Departme.
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Condition: New.
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Data Driven Mathematical Modeling in Agriculture (Hardcover)
Published by River Publishers, Gistrup, 2024
ISBN 10: 8770041008 ISBN 13: 9788770041003
Language: English
US$ 208.77
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. The research in this book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers' choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models are utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies.Technical topics discussed in the book include:Precision agricultureMachine learningWireless sensor networksIoTDeep learning This book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Data Driven Mathematical Modeling in Agriculture (Hardcover)
Published by River Publishers, Gistrup, 2024
ISBN 10: 8770041008 ISBN 13: 9788770041003
Language: English
US$ 201.62
Convert currencyUS$ 49.61 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. The research in this book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers' choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models are utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies.Technical topics discussed in the book include:Precision agricultureMachine learningWireless sensor networksIoTDeep learning This book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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US$ 245.35
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Add to basketHardcover. Condition: Brand New. 500 pages. 9.18x6.12x9.21 inches. In Stock.
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US$ 333.14
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Handbook of Research on Data-driven Mathematical Modeling in Smart Cities
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Data Driven Mathematical Modeling in Agriculture
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 192.86
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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US$ 187.81
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Add to basketHardcover. Condition: Brand New. 500 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Data-Driven Mathematical Modeling in Smart Cities
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
US$ 381.38
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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US$ 422.50
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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US$ 521.47
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A smart city utilizes ICT technologies to improve the working effectiveness, share various data with the citizens, and enhance political assistance and societal wellbeing. The fundamental needs of a smart and sustainable city are utilizing smart technology for enhancing municipal activities, expanding monetary development, and improving citizens' standards of living. The Handbook of Research on Data-Driven Mathematical Modeling in Smart Cities discusses new mathematical models in smart and sustainable cities using big data, visualization tools in mathematical modeling, machine learning-based mathematical modeling, and more. It further delves into privacy and ethics in data analysis. Covering topics such as deep learning, optimization-based data science, and smart city automation, this premier reference source is an excellent resource for mathematicians, statisticians, computer scientists, civil engineers, government officials, students and educators of higher education, librarians, researchers, and academicians.
