Using count data models to determine the factors affecting farmers’ quantity decisions of precision farming technology adoption

The following study investigates the adoption of various precision farming technologies in terms of both the probability and the use intensity of technology components implemented. Zero-inflated Poisson and Negative Binomial count data model regressions were used to determine factors influencing far...

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Veröffentlicht in:	Computers and electronics in agriculture 2008-07, Vol.62 (2), p.231-242
Hauptverfasser:	Isgin, Tamer, Bilgic, Abdulbaki, Forster, D. Lynn, Batte, Marvin T.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adoption intensity Agronomy. Soil science and plant productions Biological and medical sciences Fundamental and applied biological sciences. Psychology Precision farming technologies Zero-inflated Poisson and Negative Binomial models
Online-Zugang:	Volltext
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