Intensity of Precision Agriculture Technology Adoption by Cotton Producers

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

doi:10.1017/s1068280500004561

Cited by 86 publications

(53 citation statements)

References 30 publications

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“…We now turn to the adoption submodel. The dependent variable is Adopt intensity , which we measure as the level of the most efficient irrigation techniques adopted (Paxton et al., ) . We distinguish four efficiency levels: zero, that is no adoption ( flood irrigation ), low ( furrow and border irrigation), medium ( mulching and spray pipes ), and high ( fertigation and drought‐resistant varieties ).…”

Section: Conceptual Modelmentioning

confidence: 99%

Adoption of farm‐based irrigation water‐saving techniques in the Guanzhong Plain, China

Tang

Folmer

Xue

2016

Agricultural Economics

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This article analyses adoption of farm-based irrigation water saving techniques, based on a cross-sectional data set of 357 farmers in the Guanzhong Plain, China. Approximately 83% of the farmers use at least one farm-based water-saving technique. However, the traditional, inefficient techniques border and furrow irrigation are still prevalent whereas the use of advanced, more efficient techniques is still rather rare. We develop and estimate an adoption model consisting of two stages: awareness of water scarcity and intensity of adoption. We find that awareness of water scarcity and financial status enhance adoption of more advanced techniques whereas access to better community-based irrigation infrastructure discourages it. We furthermore find both community-based irrigation infrastructure and farm-based irrigation water-saving techniques have mitigating effects on production risk. From the results it follows that adoption can be stimulated via financial support and via extension aimed at enhancing awareness of water scarcity.JEL classifications: D81, Q12, Q15, Q55

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Section: Conceptual Modelmentioning

confidence: 99%

Adoption of farm‐based irrigation water‐saving techniques in the Guanzhong Plain, China

Tang

Folmer

Xue

2016

Agricultural Economics

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“…In particular, binomial distribution, negative binomial distribution, Poisson distribution and mixture models are well known and have been used in numerous studies, in areas as diverse as counting dung patches (Monton & Baird, 1990), crop quantities and farms (Ridout et al, 1998;Kim et al, 2005;Bravo et al, 2006;Paxton et al, 2011), species (Royle, 2004;Brotons et al, 2005;Kery et al, 2005), and the number of food groups consumed (Hirvonen & Hoddinott, 2004), etc. Although the War- ing distribution model is relatively unknown for studies based on discrete data, it is in fact very suitable for this application.…”

Section: Discussionmentioning

confidence: 99%

Modelling the number of olive groves in Spanish municipalities

Huete

Marmolejo

2016

Span. j. agric. res.

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The univariate generalized Waring distribution (UGWD) is presented as a new model to describe the goodness of fit, applicable in the context of agriculture. In this paper, it was used to model the number of olive groves recorded in Spain in the 8,091 municipalities recorded in the 2009 Agricultural Census, according to which the production of oil olives accounted for 94% of total output, while that of table olives represented 6% (with an average of 44.84 and 4.06 holdings per Spanish municipality, respectively). UGWD is suitable for fitting this type of discrete data, with strong left-sided asymmetry. This novel use of UGWD can provide the foundation for future research in agriculture, with the advantage over other discrete distributions that enables the analyst to split the variance. After defining the distribution, we analysed various methods for fitting the parameters associated with it, namely estimation by maximum likelihood, estimation by the method of moments and a variant of the latter, estimation by the method of frequencies and moments. For oil olives, the chi-square goodness of fit test gives p-values of 0.9992, 0.9967 and 0.9977, respectively. However, a poor fit was obtained for the table olive distribution. Finally, the variance was split, following Irwin, into three components related to random factors, external factors and internal differences. For the distribution of the number of olive grove holdings, this splitting showed that random and external factors only account about 0.22% and 0.05%. Therefore, internal differences within municipalities play an important role in determining total variability.Additional key words: table olive; oil olive; agricultural holdings; Waring distribution; estimation. Abbreviations used: L (liability); MF12 (method of one equation of moments and two relations between frequency); MF21 (method of two relations between moments and one equation of frequency); MLE (method of log-likelihood optimisation); MM3 (method of the three relations between moments); P (proneness); R (randomness); UGWD (Univariate Generalized Waring Distribution).

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“…Em estudos de adoção de tecnologias de agricultura de precisão, PAXTON et al (2011) obtiveram dados a partir da resposta de questionários enviados pelos correios a produtores de algodão no Sudeste do País. Para o contacto, utilizou-se de uma lista de potenciais produtores obtida junto ao conselho de algodão em Memphis, Tennessee.…”

Section: Methodsunclassified

Agricultura de precisão: particularidades de sua adoção no sudoeste de Goiás – Brasil

Filho

Cunha²

2015

Eng. Agríc.

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ROMEU SOARES FILHO¹, JOÃO P. A. R. DA CUNHA²RESUMO: A agricultura de precisão tem nos solos do Cerrado Brasileiro um perfeito campo para seu desenvolvimento. Há, entretanto, na região, carência de informações sobre o estado da arte desta nova técnica, já em uso por alguns produtores rura is. Com isso, objetiva-se com este trabalho realizar a análise da adoção e da utilização desta tecnologia na região sudoeste do Estado de Goiás, com informações reais da intensidade e da forma de uso e das condicionantes de sua adoção. Para tanto, foi aplicado um questionário a produtores que utilizavam de alguma forma a agricultura de precisão, analisando os problemas enfrentados com a tecnologia, as fontes de informação e as dificuldades encontradas pelos produtores. Para amostragem, foi utilizado o método não probabilístico, uma vez que a população não era conhecida. Os dados foram submetidos à análise estatística descritiva; e os resultados, apresentados na forma de gráficos. A técnica de agricultura de precisão na região está em fase inicial de adoção. Tem-se na amostragem do solo em grade e adubação a lanço, em taxa variada, as tecnologias mais empregadas. O uso de sensores e a irrigação de precisão são tecnologias ainda ausentes. Os principais obstáculos são carência de mão de obra especializada e elevados custos dos equipamentos. PALAVRAS-CHAVE:tecnologia agropecuária, mecanização agrícola, distribuidores a lanço. PRECISION FARMING: CHARACTERISTICS OF ITS ADOPTION IN THE SOUTHWEST REGION OF GOIÁS -BRAZILABSTRACT: Brazilian Cerrado is a perfect region to develop precision agriculture. However, there is a lack of information about the state of the art of this new technique, already in use by some farmers in this region. Therefore, the aim of this study was to make an analysis of the adoption and use of this technology in the southwest region of the state of Goiás, with real information on the intensity and form of usage and limitations of its adoption. For this purpose, a questionnaire was given to the farmers who used some form of precision agriculture, analyzing the problems encountered with the technology, sources of information and the difficulties encountered by them. It was used a non-probabilistic sampling method. Data were subjected to descriptive statistical analysis and the results presented as graphs. The technique of precision agriculture in the analyzed region is in initial adoption phase. The most used technologies are soil sampling grid and distribution of fertilizer in variable rate. The use of sensors and precision irrigation technologies are not being adopted yet. The main obstacles are lack of specialized employees and high costs of equipment.KEYWORDS: agricultural technology, agricultural mechanization, broadcast fertilizer. INTRODUÇÃOA agricultura tem passado por uma série de transformações, tornando-se uma atividade que requer cada vez mais o gerenciamento de seus processos produtivos. O crescente desenvolvimento de novas técnicas ligadas ao manejo das culturas, novos equipamentos e insumos mais efici...

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Intensity of Precision Agriculture Technology Adoption by Cotton Producers

Cited by 86 publications

References 30 publications

Adoption of farm‐based irrigation water‐saving techniques in the Guanzhong Plain, China

Adoption of farm‐based irrigation water‐saving techniques in the Guanzhong Plain, China

Modelling the number of olive groves in Spanish municipalities

Agricultura de precisão: particularidades de sua adoção no sudoeste de Goiás – Brasil

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