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Data Driven Mathematical Modeling in Agriculture: Tools and Technologies

Data Driven Mathematical Modeling in Agriculture: Tools and Technologies

Hardcover

Series: River Publishers Mathematical, Statistical and Computational Modelling for Engineering

ChemistryGeneral ComputersGeneral Science

ISBN10: 8770041008
ISBN13: 9788770041003
Publisher: River Publishers
Published: Aug 23 2024
Pages: 456
Weight: 1.93
Height: 1.06 Width: 6.14 Depth: 9.21
Language: English

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.

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