Mathematical Modeling in Agriculture

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Éditeur :

Wiley-Scrivener


Paru le : 2024-10-16

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Description

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.
Pages
464 pages
Collection
n.c
Parution
2024-10-16
Marque
Wiley-Scrivener
EAN papier
9781394233694
EAN PDF
9781394233717

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
464
Taille du fichier
45046 Ko
Prix
227,88 €
EAN EPUB
9781394233700

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
464
Taille du fichier
18360 Ko
Prix
227,88 €

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