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Paxton, Kenneth W.; Mishra, Ashok K.; Chintawar, Sachin; Larson, James A.; Roberts, Roland K.; English, Burton C.; Lambert, Dayton M.; Marra, Michele C.; Larkin, Sherry L.; Reeves, Jeanne M.; Martin, Steven W.. |
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... |
Tipo: Conference Paper or Presentation |
Palavras-chave: 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. |
Ano: 2010 |
URL: http://purl.umn.edu/56486 |
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WEBER,ANDERSON C.; DEGRANDE,PAULO E.; SOUZA,ELLEN P. DE; AZAMBUJA,ROSALIA; FERNANDES,MARCOS G.. |
Abstract Recently, the Neotropical brown stink bug, Euschistus heros (Pentatomidae: Hemiptera), has been detected in cotton in the Brazilian Cerrado. Several reliable surveys have been conducted on the spatial distribution of stink bugs in soybean; however, few studies have examined the behavior of this insect in cotton in Brazil. Thus, this study examined the spatial distribution of E. heros in cotton using aggregation indices based on the variance-to-mean ratio, Morisita index, exponent k, Poisson and negative binomial distributions. Inverse Distance Weighting interpolation maps were also used to represent insect density. The study was conducted in a 1.1 hectare experimental cotton field in which 64 equally-sized plots were sampled on a weekly basis. Our... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Aggregation Indices; Dispersion; GIS; IPM; Negative Binomial. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000703483 |
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