Factors Influencing Farmer Adoption of Portable Computers for Site-Specific Management: A Case Study for Cotton Production

Walton, Jonathan C.; Larson, James A.; Roberts, Roland K.; Lambert, Dayton M.; English, Burton C.; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Paxton, Kenneth W.; Reeves, Jeanne M.

doi:10.1017/s1074070800003400

Cited by 25 publications

(14 citation statements)

References 23 publications

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“…Several authors have verified that increasing age reduces the likelihood of PFT adoption. Young farmers, with longer planning horizons, may be more involved in more innovative farming [17,88,91,94,99,100].…”

Section: Descriptive Resultsmentioning

confidence: 99%

Adoption of Precision Farming Tools: The Case of Italian Farmers

Vecchio

Agnusdei

Miglietta

et al. 2020

IJERPH

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The process of adopting innovation, especially with regard to precision farming (PF), is inherently complex and social, and influenced by producers, change agents, social norms and organizational pressure. An empirical analysis was conducted among Italian farmers to measure the drivers and clarify “bottlenecks” in the adoption of agricultural innovation. The purpose of this study was to analyze the socio-structural and complexity factors that affect the probability to adopt innovations and the determinants that drive an individual’s decisions. Preliminary results found high levels of adoption among younger farmers, those that had a high level of education, those with high intensity of information, with large farm sizes, and high labor intensity. A logit model was used to understand the role played by labor intensity and perceived in the adoption process. In light of the Common Agricultural Policy Reform post 2020, the findings suggest relevant policy implications, such as the need to increase awareness of PF tools and foster dissemination of information aimed at reducing the degree of perceived complexity.

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Section: Descriptive Resultsmentioning

confidence: 99%

Adoption of Precision Farming Tools: The Case of Italian Farmers

Vecchio

Agnusdei

Miglietta

et al. 2020

IJERPH

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“…Farmers using laptops or handheld computers in the field (LP) were hypothesized to observe changes in fertilizer use with VRT management, but the direction of the change was unclear (increase, decrease, or no change). The use of these devices allows farmers to verify and enhance the accuracy of data collected using site-specific information technologies, leading to more accurate estimation of the connections between those technologies, VRT management plans, and fertilizer use (Walton et al, 2010).…”

Section: Farm Operator Characteristicsmentioning

confidence: 99%

“…Cotton area farmed (CA) was hypothesized to be associated with changes in fertilizer use. Larger operations are more likely to face managerial challenges posed by field fertility heterogeneity, and therefore more likely to experience changes in fertilizer use from VRT input management (Roberts et al, 2004;Torbett et al, 2007;Walton et al, 2010).…”

Section: Farm Operation Attributesmentioning

confidence: 99%

Variable-Rate Application on Fertilizer Use in Cotton Production

Thompson¹,

Larson²,

Velandia³

et al. 2018

JAS

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Precision agriculture technologies are increasingly important in cotton production because input prices continue to rise. Farmers increase input efficiency using precision agriculture technologies by adjusting inputs to match soil fertility and plant nutrition requirements. This research examines the factors affecting changes in fertilizer use following variable-rate fertilizer application in cotton production. Data from a 2009 survey of cotton producers in 12 states of the United States were used in the analysis. Farmers who used precision soil sampling, planted larger cotton area, relied on other farmers for information about PA, grew picker cotton, and had higher household income were more likely to decrease fertilizer application with VRT. Results from this analysis are useful to farmers and policy makers interested in reducing fertilizer use in the face of rising fertilizer prices and growing concerns about the environmental impacts of farming.

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“…Of the remaining questionnaires, 1,215 were returned completed for a response rate of 10 percent. The low response rate might be due to the complexity and length of the questionnaire and the fact that, at the time of the survey, cotton prices were low and therefore cotton farmers may not have been interested in making investments in new technologies (Walton et al 2010).…”

Section: Data Descriptionmentioning

confidence: 99%

“…The selection process may require time to search and process information (e.g., opportunity costs), and access fees for information services. In this study, farmers reporting household incomes greater than $150,000 were considered high-income farmers (Walton et al 2008(Walton et al , 2010. Higher income levels may facilitate access to consulting services complementing new technologies (Rogers 1983).…”

Section: Empirical Modelmentioning

confidence: 99%

Factors Influencing the Selection of Precision Farming Information Sources by Cotton Producers

Jenkins

Velandia

Lambert

et al. 2011

Agric. resour. econ. rev.

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Precision farming information demanded by cotton producers is provided by various suppliers, including consultants, farm input dealerships, University Extension systems, and media sources. Factors associated with the decisions to select among information sources to search for precision farming information are analyzed using a multivariate probit regression accounting for correlation among the different selection decisions. Factors influencing these decisions are age, education, and income. These findings should be valuable to precision farming information providers who may be able to better meet their target clientele needs.

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Factors Influencing Farmer Adoption of Portable Computers for Site-Specific Management: A Case Study for Cotton Production

Cited by 25 publications

References 23 publications

Adoption of Precision Farming Tools: The Case of Italian Farmers

Adoption of Precision Farming Tools: The Case of Italian Farmers

Variable-Rate Application on Fertilizer Use in Cotton Production

Factors Influencing the Selection of Precision Farming Information Sources by Cotton Producers

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