30 research outputs found

    Adoption and Abandonment of Precision Soil Sampling in Cotton Production

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    Technology adoption in precision agriculture has received considerable attention, while abandonment has received little. Our objective was to identify factors motivating adoption and abandonment of precision soil sampling in cotton. Results indicate younger producers who farmed more cotton area, owned more of their cropland, planted more non-cotton area, used a computer, or used a Personal Digital Assistant (PDA) were more likely to adopt precision soil sampling. Those with more cotton area or who owned livestock were more likely to abandon, while those who used precision soil sampling longer, used a PDA, or used variable-rate fertilizer application were less likely to abandon.Crop Production/Industries,

    Precision Agriculture Technology Adoption for Cotton Production

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    Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the number of specific types of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the influence of spatial yield variability on the number of precision farming technologies adopted, using a Count data estimation procedure and farm-level data. Results indicate that farmers with more within-field yield variability adopted a larger number of precision agriculture technologies. Younger and better educated producers and the number of precision agriculture technologies were significantly correlated. Finally, farmers using computers for management decisions also adopted a larger number of precision agriculture technologies.precision technologies, Poisson, Negative Binomial, count-data method, GIS, education, cotton, Agricultural and Food Policy, Farm Management, Labor and Human Capital, Land Economics/Use, Productivity Analysis, Resource /Energy Economics and Policy,

    Intensity of Precision Agriculture Technology Adoption by Cotton Producers

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    Many studies on the adoption of precision technologies have generally used logit models to explain the adoption behavior of individuals. This study investigates factors affecting the intensity of precision agriculture technologies adopted by cotton farmers. Particular attention is given to the role of spatial yield variability on the number of precision farming technologies adopted, using a count data estimation procedure and farm-level data. Results indicate that farmers with more within-field yield variability adopted a higher number of precision agriculture technologies. Younger and better educated producers and the number of precision agriculture technologies used were significantly correlated. Finally, farmers using computers for management decisions also adopted a higher number of precision agriculture technologies.precision technologies, Poisson, negative binomial count data method, GPS, education, cotton, Crop Production/Industries, Farm Management, Production Economics, Research and Development/Tech Change/Emerging Technologies,

    An analysis of child deaths by suicide in Queensland Australia, 2004-2012. What are we missing from a preventative health services perspective?

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    Background: This article analyses case descriptions of child suicides from 2004 to 2012 toinform future policy and practice. Methods: Quantitative data and case descriptions for 159 child suicides (under 18 years) in Queensland, Australia, were analysed quantitatively using SPSS and qualitatively using automated content analyzis (Leximancer). Results: More than three quarters of child suicides involved hanging and 81% of suicides occurred in the family home. Less than 20% of the deceased left a note, however there was evidence of planning in 54% of cases. Most common triggering events were family conflicts. Conclusions: Effective suicide prevention interventions require a comprehensive understanding of risk factors. Quality of case descriptions varied widely, which can hamper injury prevention efforts through an incomplete understanding of characteristics of, and important factors in child suicide. Additional attention and resources dedicated to this public health issue could enhance the development and implementation of effective intervention strategies targeting child and adolescent suicide

    Adoption of Precision Agriculture for Cotton in the Southern United States

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    A nested logit model was applied to the 2009 Southern Cotton Precision Farming Survey to study the influence of farmer and farm characteristics on the adoption of Variability Detection Technologies (VDTs) and Variable Rate Application Technology (VRT). The results reveal that farm size, ownership of the land, and exposure to Extension activities are important factors affecting the choice of VDTs. Also, the farmers adopting both soil- based and plant-based VDTs were found to be more likely to adopt VRT. The probability of adoption of VRT was found to be lower for Texas cotton farmers compared to those in other surveyed states, regardless of the type of VDT adopted

    Corrigendum to “Adoption and Frequency of Precision Soil Testing in Cotton Production”

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    The authors regret that the above paper contained an error in the calculation of the survey expansion weights (Lambert et al., 2014, p. 110). Using the notation of the paper, the expansion factor for the lth stratum was introduced as wl =agbh=ngh, where g indexes states and h indexes farm size class. This is in fact the correct expression if Sinkhorn’s (1964) RAS method were used. However, Ireland and Kullback’s (1968) cross-entropy method was used to estimate the expansion factors, and division of variables a and b by the survey response frequency (ngh) is unnecessary. The typographical error has no bearing on the empirical analysis. Reference

    Cotton Producer Awareness and Participation in Cost-Sharing Programs for Precision Nutrient-Management Technology

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    Factors influencing adoption of variable-rate nutrient management (VRM) and georeferenced precision soil sampling (PSS) for fertilizer management among cotton producers and the factors affecting awareness of and participation in cost-share programs encouraging the adoption of nutrient-management practices were analyzed using multivariate probit regression with sample selection. Data were collected from a fourteen-state cotton producer survey. Factors including farm size, operator age, and farm location were correlated with the adoption of VRM and PSS, awareness of cost-sharing programs, and program participation. The results may help agencies target farms with the specific attributes most likely to participate in cost-share programs

    Use of videos to support teaching and learning of clinical skills in nursing education: A review

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    Information and communications technology is influencing the delivery of education in tertiary institutions. In particular, the increased use of videos for teaching and learning clinical skills in nursing may be a promising direction to pursue, yet we need to better document the current research in this area of inquiry. The aim of this paper was to explore and document the current areas of research into the use of videos to support teaching and learning of clinical skills in nursing education. The four main areas of current and future research are effectiveness, efficiency, usage, and quality of videos as teaching and learning materials. While there is a clear need for additional research in the area, the use of videos seems to be a promising, relevant, and increasingly used instructional strategy that could enhance the quality of clinical skills education
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