Examining the social and biophysical determinants of U.S. Midwestern corn farmers’ adoption of precision agriculture
Author:
Funder
National Institute of Food and Agriculture
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Link
http://link.springer.com/content/pdf/10.1007/s11119-019-09681-7.pdf
Reference59 articles.
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2. Aubert, B., Schroeder, A., & Grimaudo, J. (2012). IT as enabler of sustainable farming: An empirical analysis of farmers’ adoption decision of precision agriculture technology. Decision Support Systems,54(1), 510–520. https://doi.org/10.1016/j.dss.2012.07.002 .
3. Batte, M., & Arnholt, M. (2003). Precision farming adoption and use in Ohio: Case studies of six leading-edge adopters. Computers and Electronics in Agriculture,38(2), 125–139. https://doi.org/10.1016/S0168-1699(02)00143-6 .
4. Blackstock, K., Ingram, J., Burton, R., Brown, K., & Slee, B. (2010). Understanding and influencing behaviour change by farmers to improve water quality. Science of the Total Environment,408(23), 5631–5638. https://doi.org/10.1016/j.scitotenv.2009.04.029 .
5. Bolker, B., Brooks, M., Clark, C., Geange, S., Poulsen, J., Stevens, M., et al. (2009). Generalized linear mixed models: A practical guide for ecology and evolution. Trends in Ecology & Evolution,24(3), 127–135. https://doi.org/10.1016/j.tree.2008.10.008 .
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