Mathematical Modeling in Agriculture

— —

Sabyasachi Pramanik (Haldia Institute of Technology, India) Niranjanamurthy M. (BMS Institute of Technology and Management, Yelahanka, Bengalore, India)

Mathematical Modeling in Agriculture

Sabyasachi Pramanik (Haldia Institute of Technology, India), Niranjanamurthy M. (BMS Institute of Technology and Management, Yelahanka, Bengalore, India), Ankur Gupta (Vaish College of Engineering, Rohtak, India) , Ahmed J. Obaid (University of Kufa, Iraq)

$373.95

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Wiley-Scrivener
22 October 2024

Mathematical modelling; Agronomy & crop production

The main goal of the book is to explore the idea behind data modeling in smart agriculture using information and communication technologies and tools to make agricultural practices more functional, fruitful and profitable.

The research in the 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 were 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.

Farm management information systems (FMIS) have constantly advanced in complexity as they have incorporated new technology, the most recent of which is the internet. However, few FMIS have fully tapped into the internet’s possibilities, and the newly developing idea of precision agriculture receives little or no support in the FMIS that are now being sold. FMIS for precision agriculture must meet a few more criteria beyond those of regular FMIS, which increases the technological complexity of these systems’ deployment in a number of ways. In order to construct an FMIS that meet these extra needs, the authors here evaluated various cutting-edge web-based methods. The goal was to determine the requirements that precision agriculture placed on FMIS.

Edited by: Sabyasachi Pramanik (Haldia Institute of Technology India), Niranjanamurthy M. (BMS Institute of Technology and Management, Yelahanka, Bengalore, India), Ankur Gupta (Vaish College of Engineering, Rohtak, India), Ahmed J. Obaid (University of Kufa, Iraq)
Imprint: Wiley-Scrivener
Country of Publication: United States
ISBN: 9781394233694
ISBN 10: 1394233698
Pages: 464
Publication Date: 22 October 2024
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Sabyasachi Pramanik, PhD, is an associate professor in the Department of Computer Science and Engineering, Haldia Institute of Technology, India. He has many publications in technical conferences and journals, as well as online book chapter contributions. He is also a reviewer for and on numerous editorial boards for technical journals. He has authored one book and edited nine books, including books for Scrivener Publishing. Niranjanamurthy M., PhD, is an assistant professor in the Department of Artificial Intelligence and Machine Learning, BMS Institute of Technology and Management, Yelahanka, Bengalore, India. He has over ten years of teaching experience and two years of industry experience as a software engineer. He has published five books and is working on numerous books for Scrivener Publishing. He has published 54 research papers in various scientific refereed journals and filed ten patents, with two granted so far. He is a reviewer for more than 20 journals and has received numerous awards. Ankur Gupta, MTech, is an assistant professor in the Department of Computer Science and Engineering at Vaish College of Engineering, Rohtak, India. He has many publications in scientific journals and conferences and online book chapter contributions. Ahmed J. Obaid, PhD, is an assistant professor in the Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa, Iraq. He has over 14 years of teaching experience and is a board member on numerous scientific journals. He has published over 75 journal research articles, five book chapters, 15 conference papers, 10 conference proceedings, and has edited eight books.

WIN $150 GIFT VOUCHERS: ALADDIN'S GOLD

Mathematical Modeling in Agriculture

Sabyasachi Pramanik (Haldia Institute of Technology, India), Niranjanamurthy M. (BMS Institute of Technology and Management, Yelahanka, Bengalore, India), Ankur Gupta (Vaish College of Engineering, Rohtak, India) , Ahmed J. Obaid (University of Kufa, Iraq)

$373.95

Hardback

See Also

Contact Abbeys

Contact Galaxy

Contact Language

Contact Us

About ABBEY'S