ISBN: 9788770041003 - data driven mathematical modeling in agriculture: tools and technologies (22 risultati)

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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

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Hardcover. Condizione: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Condizione: As New. Unread book in perfect condition.

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Condizione: New. 1st edition NO-PA16APR2015-KAP.

Condizione: New. In English.

Hardcover. Condizione: Brand New. 500 pages. 9.18x6.12x9.21 inches. In Stock.

Hardback. Condizione: New. 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. …

Condizione: 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.

Condizione: New.

Hardcover. Condizione: Brand New. 500 pages. 9.18x6.12x9.21 inches. In Stock.

Hardback. Condizione: New. 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. …

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies.

Buch. Condizione: Neu. Data Driven Mathematical Modeling in Agriculture | Tools and Technologies | Sabyasachi Pramanik (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2024 | River Publishers | EAN 9788770041003 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…