RESUMENLa creciente preocupación medioambiental y la necesidad de producir alimentos de calidad de una manera sostenible y respetuosa con el entorno ubican al sector agroalimentario en el punto de mira de la sociedad. El empleo de la tecnología del Sistema de Posicionamiento Global (GPS, siglas en inglés) en el ámbito civil ha fomentado el surgimiento de nuevas fuentes de desarrollo, entre las que se puede mencionar la Agricultura, y muy particularmente la Agricultura de Precisión. Muy brevemente se puede definir como la posibilidad de aplicar tratamientos distintos a escala local de un cultivo y obtener una mayor producción con un menor costo. El rendimiento agrícola resume el resultado de todo el ciclo de producción de un cultivo, por lo que su censado y mapeo brindan la posibilidad de conocer cómo fue su variabilidad sobre el terreno y ofrecen la posibilidad de manejarlo. Con la elaboración de un mapa de rendimiento del cultivo y una vez obtenido el rendimiento de cada punto se le puede aplicar una dosis variable de pesticidas, abonos, fertilizantes, etc., contribuyendo a minimizar el costo de la producción y a lograr un mejor equilibro ambiental.Palabras clave: Agricultura de Precisión, Mapas de Rendimiento, Mapas de Aplicación, Sistemas de Posicionamiento Global, Sistemas de Información Geográfica, Interpolación, Imagen.
ABSTRACTThe growing environmental concern and the necessity to produce quality foods in a sustainable way which respects the environment have put the agricultural sector under the scrutiny of society.
This work propose metrics to allow a precise measuring of the quality of the Virtual Primary Keys (VPK) generated by any VPK scheme proposed so far, without requiring to perform the watermark embedding, so wasting time can be avoided in case of low-quality detection. We also analyze the main aspects to design the ideal VPK scheme, seeking the generation of high-quality VPK sets adding robustness to the process. Finally, a new scheme is presented along with the experiments carried out to validate and compare the results with the rest of the schemes proposed in the literature. We believe that these findings will be of interest to the readers of Elsevier Expert Systems with Applications Journal. This manuscript is original, has not been published before and is not currently being considered for publication elsewhere.
In this paper, the use of a Facebook group is compared with a Facebook app, as a viable alternative to overcome the difficulties previously found when using this social network in a collaborative learning process. This is an applied and quantitative and exploratory research carried out using the experiment methodology. This study is based on the Technology Acceptance Model and the heuristic evaluation. The flexibility of the Facebook platform was verified, as well as the acceptance of Facebook groups among sophomores studying software engineering at the Universidad Técnica de Ambato in Ecuador. It is concluded that it was possible to personalize collaborative learning in Facebook with the construction of Sigma. However, contrary to expectations, using a Facebook group is considered by those students who participated in the experiment as the best alternative for using this platform in collaborative learning.
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