Automatic expert system based on images for accuracy crop row detection in maize fields

This paper proposes an automatic expert system for accuracy crop row detection in maize fields based on images acquired from a vision system. Different applications in maize, particularly those based on site specific treatments, require the identification of the crop rows. The vision system is designed with a defined geometry and installed onboard a mobile agricultural vehicle, i.e. submitted to vibrations, gyros or uncontrolled movements. Crop rows can be estimated by applying geometrical parameters under image perspective projection. Because of the above undesired effects, most often, the estimation results inaccurate as compared to the real crop rows. The proposed expert system exploits the human knowledge which is mapped into two modules based on image processing techniques. The first one is intended for separating green plants (crops and weeds) from the rest (soil, stones and others). The second one is based on the system geometry where the expected crop lines are mapped onto the image and then a correction is applied through the well-tested and robust Theil–Sen estimator in order to adjust them to the real ones. Its performance is favorably compared against the classical Pearson product–moment correlation coefficient.

Low-Cost Radar-Based Target Identification Prototype using an Expert System

Smart and green cities are hot topics in current research because people are becoming more conscious about their impact on the environment and the sustainability of their cities as the population increases. Many researchers are searching for mechanisms that can reduce power consumption and pollution in the city environment. This paper addresses the issue of public lighting and how it can be improved in order to achieve a more energy efficient city. This work is focused on making the process of turning the streetlights on and off more intelligent so that they consume less power and cause less light pollution. The proposed solution is comprised of a radar device and an expert system implemented on a low-cost platform based on a DSP. By analyzing the radar echo in both the frequency and time domains, the system is able to detect and identify objects moving in front of it. This information is used to decide whether or not the streetlight should be turned on. Experimental results show that the proposed system can provide hit rates over 80%, promising a good performance. In addition, the proposed solution could be useful in kind of other applications such as intelligent security and surveillance systems and home automation.

Bayesian network modeling of the consensus between experts: an application to neuron classification

Neuronal morphology is hugely variable across brain regions and species, and their classification strategies are a matter of intense debate in neuroscience. GABAergic cortical interneurons have been a challenge because it is difficult to find a set of morphological properties which clearly define neuronal types. A group of 48 neuroscience experts around the world were asked to classify a set of 320 cortical GABAergic interneurons according to the main features of their three-dimensional morphological reconstructions. A methodology for building a model which captures the opinions of all the experts was proposed. First, one Bayesian network was learned for each expert, and we proposed an algorithm for clustering Bayesian networks corresponding to experts with similar behaviors. Then, a Bayesian network which represents the opinions of each group of experts was induced. Finally, a consensus Bayesian multinet which models the opinions of the whole group of experts was built. A thorough analysis of the consensus model identified different behaviors between the experts when classifying the interneurons in the experiment. A set of characterizing morphological traits for the neuronal types was defined by performing inference in the Bayesian multinet. These findings were used to validate the model and to gain some insights into neuron morphology.

Garantía de funcionamiento de estaciones de tratamiento terciario de aguas residuales para usos recreativos : controles necesarios

La legislación existente en nuestro país, el Real Decreto 1620/200, de 7 de diciembre, por el que se establece el régimen jurídico de la reutilización de las aguas depuradas, no ha sido modificada en estos últimos años a pesar de las opiniones de expertos y operadores en el sentido que merece una revisión y mejora. Por ello se ha realizado un análisis pormenorizado de toda la legislación existente a nivel país y de otros países con amplia experiencia en reutilización para proponer mejoras o cambios en base a la información recopilada, tanto en estudios específicos de investigación como de los datos obtenidos de operadores y/o explotadores de estaciones regeneradoras de aguas residuales en España. Del estudio surgen algunas propuestas claras que se ponen a consideración de las autoridades. Se ha comprobado que no existen estudios suficientes relacionados a tipos de controles en estaciones de tratamiento terciario de aguas residuales en cada uno de los pasos de la línea de proceso, que permitan conocer las garantías de funcionamiento de dichas etapas y del proceso en su conjunto. De éste modo se podrían analizar todas las etapas por separado y comprobar si el funcionamiento en las condiciones previstas de diseño es apropiado, o si es posible mejorar la eficiencia a partir de estos datos intermedios, en lugar de los controles normales efectuados en la entrada y la salida realizados por los explotadores de las plantas existentes en el país. Existen, sin embargo, investigaciones y datos de casi todas las tecnologías existentes en el mercado relacionadas con la regeneración, lo cual ha permitido identificar sus ventajas e inconvenientes. La aplicación de un proceso de APPCC (Análisis de Peligros y Puntos de Control Críticos) a una planta existente ha permitido comprobar que es una herramienta práctica que permite gestionar la seguridad de un proceso de producción industrial como es el caso de un sistema de reutilización, por lo que se considera conveniente recomendar su aplicación siempre que sea posible. The existing legislation in our country, Royal Decree 1620/2007, of 7th December, establishing the legal regime for the reuse of treated water has not been modified in recent years despite expert and operators opinions in the sense that it deserves review and improvement. Therefore it has been conducted a detailed analysis of all existing legislation at country level and of other countries with extensive experience in water reuse to propose improvements or changes based on the information gathered both in specific research studies and the data obtained from operators and/or operators of regenerative sewage stations in Spain. As a result of these studies, some clear proposals are made to be considered by the authorities. It has been found that there are not enough studies related to types of controls in tertiary wastewater treatment plants, in each step of the process line, that provide insight into the performance guarantees of the mention stages and of the whole process. In this manner all stages could be analyzed separately and check if the operation in the design conditions envisaged is appropriate, or whether it is possible to improve efficiency taking in account these intermediate data, instead to the normal checks at entry and exit carried out by operators in existing plants in the country. There are, however, research and data from almost all technologies existing in the market related to regeneration, which has allowed identified its advantages and disadvantages. The application of a process of HACCP (hazard analysis and critical control points) to an existing plant has shown that it is a practical tool for managing the security of a process of industrial production as is the case of a water reuse system, so it is considered appropriate to recommend application whenever possible.