Factors Influencing Cotton Farmers’ Perceptions about the Importance of Information Sources in Precision Farming Decisions

Margarita Velandia, Dayton Lambert, Maria P. Mendieta, Roland Roberts, James Larson (), Burton English, Roderick Rejesus and Ashok Mishra ()

No 103752, 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania from Agricultural and Applied Economics Association

Abstract: Information generated by precision farming technologies is of particular importance to producers. Precision farming technologies implies the ability to improve the management of production factors using site-specific information. This study examines factors influencing cotton farmers’ perceptions about the importance of crop consultants, farm input dealerships, Extension, other farmers, trade shows, the Internet and printed news/media for making precision farming decisions using a rank ordered logit model (ROLM). Results suggest that age, land tenure, income, percentage of income from farming, and location may affect farmers’ perceptions about the importance of different information sources when making decisions about precision farming technologies. Results suggest that regardless of farmer/farm business characteristics other farmers (OF) is one of the most important information sources when making precision farming decisions. Findings suggest that high income producers are more likely to prefer crop consultants, University/Extension, trade shows, and the Internet over OF as a source of information when making decisions about precision farming technologies. Findings also suggest that researchers need to be very careful when designing questions that ask respondents to rank alternatives so that they guarantee that individuals with different skills are able to precisely understand what is being asked. Decreasing the number of alternatives respondents must consider may be one strategy to reduce the complexity of ranking questions to minimize the probability of the respondents leaving alternatives unranked or ranking them randomly.

Keywords: Production Economics; Research Methods/Statistical Methods (search for similar items in EconPapers)
Pages: 37
Date: 2011
New Economics Papers: this item is included in nep-agr and nep-dcm
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea11:103752

DOI: 10.22004/ag.econ.103752

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