Adoption of Variability Detection and Variable Rate Application Technologies by Cotton Farmers in Southern United States

Shyam Nair, Chenggang Wang, Eduardo Segarra (), Eric J. Belasco, Margarita Velandia and Jeanne M. Reeves

No 103567, 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania from Agricultural and Applied Economics Association

Abstract: A nested logit model was used to analyze the 2009 Southern Cotton Precision Farming Survey to study the impact of farmer and farm characteristics on the adoption of Variability Detection Technologies (VDT) and the adoption of Variability Rate application Technology (VRT) conditioned on the type of the VDT chosen. The results showed that the farm size and exposure to extension activities are important factors affecting the choice of VDTs. The farmers adopting both soil and plant based VDTs are more likely to adopt VRT. The probability of adoption of VRTs was lower for Texas cotton farmers irrespective of the type of VDT adopted. In general, younger, more educated farmers who use computers for farming operations are more likely to adopt VRT when they choose soil based or both soil and plant based VDT.

Keywords: Precision Agriculture; Technology Adoption; Cotton; Crop Production/Industries; Farm Management; Research and Development/Tech Change/Emerging Technologies; O33; Q16 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-agr
Date: 2011
References: View complete reference list from CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://purl.umn.edu/103567 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: http://EconPapers.repec.org/RePEc:ags:aaea11:103567

Access Statistics for this paper

More papers in 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania from Agricultural and Applied Economics Association
Contact information at EDIRC.
Series data maintained by AgEcon Search ().