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

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.


Issue Date:
2011
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/103567
Total Pages:
25
JEL Codes:
O33; Q16
Series Statement:
Selected Paper
13365




 Record created 2017-04-01, last modified 2017-04-26

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)