Luis Joel Martínez

Variabilidad espacial del suelo y su relacion con el rendimiento de mango (Mangifera indica L.)

In a regular grid with 31 points located with GPS, samples were taken and based on geostatistics analysis the spatial variability of soil properties and their relationships with yield of a mango crop were studied. It was found that soil properties and crop yield presented a high, within-field, spatial variability. The range of the semi variance models varied from 10 to 192 meters, with the exception of pH and Ca, the adjusted models showed nugget/sill fraction lower than 30%, thus indicating that most of the process is explained by the structural variation and then better interpolation results could be expected. K, Ca, CIC, Ca+Mg/K fraction, slope, and altitude were the most important factors affecting crop yield. The studied method in this research is useful to define management zones within fields and some used criteria like altitude and slope are important for the zoning of larger areas and can be computed from a digital elevation model.

An oriented service multilayer architecture for virtual microscopy in mobile devices

Mobile devices have undergone a large transformation in the last decade, increasing their use and their possibilities. In the last two years, modern tablets have been used in many different applications because of their computational and display capacities. The possibility of using such devices in virtual microscopy highly depends on robust models that allow interacting with virtual slides. This article introduces a service oriented architecture that optimizes data interaction by a multilayer implementation of the well known JPEG2000 standard.