RESUMO
In the last 30 years soils decreased 73 % of their productive capacity in the world. One of the main reasons for this decrease has been the politics implemented, as well as the absence of opportunity for the small producer to implement improvement strategies that can increase their productivity in the field. Therefore, in this research a soil measurement system is proposed for small farmers, based on the design of two sensors of low cost: (i) Apparent electrical conductivity (ECa) sensor and (ii) moisture sensor. These measurement variables have the particularity that their characteristics can be associated with the physical properties of the soil for decision-making. The sensors developed in this work employ two techniques: Wenner's method for ECa and electrical impedance measurement to identify the dielectric permittivity associated with the water content of the soil. The system is controlled by the Raspberry Pi 3 board through developed software that allows correlating data with its geolocation. The device was tested in controlled laboratory measurements with calibrated instruments, obtaining a coefficient of . Finally, on-site tests were made to validate their use for small farmers.
Durante los últimos 30 años, los suelos han disminuido un 73 % su capacidad productiva, a nivel mundial. Una de las principales razones para esta cifra a la baja son las políticas implementadas, así como la falta de oportunidad para que el pequeño productor adopte estrategias de mejora, con lo cual, pueda aumentar la productividad. Por lo anterior, en esta investigación, se propone un sistema de medición de suelo para pequeños productores, a partir del diseño de dos sensores de bajo costo: (i) sensor de conductividad eléctrica aparente (CEa) y (ii) sensor de humedad. Estas variables de medición tienen la particularidad que sus características se pueden asociar a las propiedades físicas del suelo, para tomar decisiones. Los sensores desarrollados en este trabajo usan dos técnicas: el método de Wenner, para la CEa y la medición de impedancia eléctrica, para identificar la permitividad dieléctrica asociada con el contenido de agua del suelo. El sistema es controlado mediante la tarjeta Raspberry Pi 3, a través de un software desarrollado, que permite correlacionar los datos con su geolocalización. El dispositivo, se probó en mediciones controladas en laboratorio, con instrumentos calibrados, obteniendo un coeficiente . Finalmente, se hicieron pruebas in situ, con el fin de validar su uso por pequeños agricultores.
RESUMO
There is a lack of medical simulation tools that can be understood and used, at the same time, by researchers, teachers, clinicians and students. Regarding this issue, in this work we report a virtual simulator (developed in OpenModelica) that allow to experiment with the fundamental variables of the cardiovascular and respiratory system of a neonate. We extended a long-tested lumped parameter model that represents the cardiovascular and respiratory physiology of a neonate. From this model, we implemented a physiological simulator using Modelica. The fidelity and versatility of the reported simulator were evaluated by simulating seven physiological scenarios: two of them representing a healthy infant (newborn and 6-months old) and five representing newborns affected by different heart diseases. The simulator properly and consistently represented the quantitative and qualitative behaviour of the seven physiological scenarios when compared with existing clinical data. Results allow us to consider the simulator reported here as a reliable tool for researching, training and learning. The advanced modelling features of Modelica and the friendly graphical user interface of OpenModelica make the simulator suitable to be used by a broad community of users. Furthermore, it can be easily extended to simulate many clinical scenarios.
