Modeling post adoption decision in precision agriculture

A Bayesian approach

Aditya R. Khanal, Ashok Mishra, Dayton M. Lambert, Krishna K. Paudel

Research output: Contribution to journalArticle

Abstract

Farmer's post-adoption responses about technology are important in continuation and diffusion of technology in precision agriculture. We studied farmer's frequency of application decisions of GPS guidance system, after adoption. Using a Cotton grower's precision farming survey in the U.S. and Bayesian approaches, our study suggests that ‘meeting expectation’ plays an important positive role. We derived posterior predictive density plots of farmers meeting expectation and not meeting expectations. Additionally, we found that farmer's income level, farm size, and farming occupation are other important factors in modeling GPS guidance system adoption and application.

Original languageEnglish (US)
Pages (from-to)466-474
Number of pages9
JournalComputers and Electronics in Agriculture
Volume162
DOIs
StatePublished - Jul 1 2019

Fingerprint

precision agriculture
Agriculture
Global positioning system
GPS
farmers
steering systems
farm size
Farms
Cotton
modeling
occupation
cotton
income
growers
farming systems
decision

ASJC Scopus subject areas

  • Forestry
  • Agronomy and Crop Science
  • Computer Science Applications
  • Horticulture

Cite this

Modeling post adoption decision in precision agriculture : A Bayesian approach. / Khanal, Aditya R.; Mishra, Ashok; Lambert, Dayton M.; Paudel, Krishna K.

In: Computers and Electronics in Agriculture, Vol. 162, 01.07.2019, p. 466-474.

Research output: Contribution to journalArticle

Khanal, Aditya R. ; Mishra, Ashok ; Lambert, Dayton M. ; Paudel, Krishna K. / Modeling post adoption decision in precision agriculture : A Bayesian approach. In: Computers and Electronics in Agriculture. 2019 ; Vol. 162. pp. 466-474.
@article{8f76e802da584b3e82787d2148bd4433,
title = "Modeling post adoption decision in precision agriculture: A Bayesian approach",
abstract = "Farmer's post-adoption responses about technology are important in continuation and diffusion of technology in precision agriculture. We studied farmer's frequency of application decisions of GPS guidance system, after adoption. Using a Cotton grower's precision farming survey in the U.S. and Bayesian approaches, our study suggests that ‘meeting expectation’ plays an important positive role. We derived posterior predictive density plots of farmers meeting expectation and not meeting expectations. Additionally, we found that farmer's income level, farm size, and farming occupation are other important factors in modeling GPS guidance system adoption and application.",
author = "Khanal, {Aditya R.} and Ashok Mishra and Lambert, {Dayton M.} and Paudel, {Krishna K.}",
year = "2019",
month = "7",
day = "1",
doi = "10.1016/j.compag.2019.04.025",
language = "English (US)",
volume = "162",
pages = "466--474",
journal = "Computers and Electronics in Agriculture",
issn = "0168-1699",
publisher = "Elsevier",

}

TY - JOUR

T1 - Modeling post adoption decision in precision agriculture

T2 - A Bayesian approach

AU - Khanal, Aditya R.

AU - Mishra, Ashok

AU - Lambert, Dayton M.

AU - Paudel, Krishna K.

PY - 2019/7/1

Y1 - 2019/7/1

N2 - Farmer's post-adoption responses about technology are important in continuation and diffusion of technology in precision agriculture. We studied farmer's frequency of application decisions of GPS guidance system, after adoption. Using a Cotton grower's precision farming survey in the U.S. and Bayesian approaches, our study suggests that ‘meeting expectation’ plays an important positive role. We derived posterior predictive density plots of farmers meeting expectation and not meeting expectations. Additionally, we found that farmer's income level, farm size, and farming occupation are other important factors in modeling GPS guidance system adoption and application.

AB - Farmer's post-adoption responses about technology are important in continuation and diffusion of technology in precision agriculture. We studied farmer's frequency of application decisions of GPS guidance system, after adoption. Using a Cotton grower's precision farming survey in the U.S. and Bayesian approaches, our study suggests that ‘meeting expectation’ plays an important positive role. We derived posterior predictive density plots of farmers meeting expectation and not meeting expectations. Additionally, we found that farmer's income level, farm size, and farming occupation are other important factors in modeling GPS guidance system adoption and application.

UR - http://www.scopus.com/inward/record.url?scp=85064922585&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85064922585&partnerID=8YFLogxK

U2 - 10.1016/j.compag.2019.04.025

DO - 10.1016/j.compag.2019.04.025

M3 - Article

VL - 162

SP - 466

EP - 474

JO - Computers and Electronics in Agriculture

JF - Computers and Electronics in Agriculture

SN - 0168-1699

ER -