Adoption of Site-Specific Information and Variable-Rate Technologies in Cotton Precision Farming

By R. Roberts, B. English, J. Larson, R. L. Cochran, W. Goodman, Sherry Larkin, M. Marra, S. Martin, W. Donald Shurley, J. Reeves. Journal of Agricultural and Applied Economics, 2004

147 citations recorded by the source corpus.

Probit analysis identified factors that influence the adoption of precision farming technologies by Southeastern cotton farmers. Younger, more educated farmers who operated larger farms and were optimistic about the future of precision farming were most likely to adopt site-specific information technology. The probability of adopting variable-rate input application technology was higher for younger farmers who operated larger farms, owned more of the land they farmed, were more informed about the costs and benefits of precision farming, and were optimistic about the future of precision farming. Computer use was not important, possibly because custom hiring shifts the burden of computer use to agribusiness firms.

Subfields: Ecology, General Agricultural and Biological Sciences, Plant Science

View Paper: https://www.semanticscholar.org/paper/40e3c5d75c476da96c8f20dd45fa6d4deb306f4e

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Citations in the corpus

Farm and operator characteristics affecting adoption of precision agriculture in Denmark and Germany (2018, result): “The finding confirms the views of Roberts et al. (2004) who argue that older farmers may be less willing to face learning curves or may have a shorter planning horizon than younger farmers.”
Factors Determining Adoption of New Agricultural Technology by Smallholder Farmers in Developing Countries (2015, background): “…(1988) on adoption of microcomputers in agriculture, Mishra and Park (2005); Mishra et al. (2009) on use of internet on use of internet, Rahm and Huffman (1984) on reduced tillage, Roberts et al. (2004) on precision farming and Traore, et al. (1998) on on-farm adoption of conservation tillage.”
Determinants of agricultural best management practice adoption: Evidence from the literature (2008, background): “It is expected that farmers who think practices will be profitable will be more likely to adopt practices (see, e.g., Napier et al. 2000; Roberts et al. 2004).”
Factors influencing the adoption of precision agricultural technologies: a review for policy implications (2012, background): “Precision agriculture is a production system that involves crop management according to field variability and site-specific conditions (Seelan et al. 2003).”