SAVIA. Un sistema web de ayuda a la decisión para control de plagas

Este trabajo presenta SAVIA, una aplicación web de soporte a la decisión en el control de plagas y enfermedades en el cultivo de la uva de mesa. Para su construcción se ha aplicado un método de desarrollo de software basado en la metodología de desarrollo de software dirigido por modelos, que permite la generación automática de la aplicación web a partir del modelo conceptual del problema.

Metaheurísticas como soporte a la selección de requisitos del software

Las técnicas de optimización y metaheurísticas han sido aplicadas ampliamente en numerosas áreas, entre ellas la Ingeniería del Software. En este trabajo mostramos la incorporacíon de estas técnicas como soporte a las tareas de selección de un grupo de requisitos de entre aquellos que han sido propuestos por los clientes, validando experimentalmente sus resultados. Los algoritmos metaheurísticos son ejecutados desde una herramienta web que permite la definicíon colaborativa de los requisitos de un proyecto software y ayudan a los desarrolladores durante la ejecución del mismo.

Decision making models embedded into a web-based tool for assessing pest infestation risk

Current practices in agricultural management involve the application of rules and techniques to ensure high quality and environmentally friendly production. Based on their experience, agricultural technicians and farmers make critical decisions affecting crop growth while considering several interwoven agricultural, technological, environmental, legal and economic factors. In this context, decision support systems and the knowledge models that support them, enable the incorporation of valuable experience into software systems providing support to agricultural technicians to make rapid and effective decisions for efficient crop growth. Pest control is an important issue in agricultural management due to crop yield reductions caused by pests and it involves expert knowledge. This paper presents a formalisation of the pest control problem and the workflow followed by agricultural technicians and farmers in integrated pest management, the crop production strategy that combines different practices for growing healthy crops whilst minimising pesticide use. A generic decision schema for estimating infestation risk of a given pest on a given crop is defined and it acts as a metamodel for the maintenance and extension of the knowledge embedded in a pest management decision support system which is also presented. This software tool has been implemented by integrating a rule-based tool into web-based architecture. Evaluation from validity and usability perspectives concluded that both agricultural technicians and farmers considered it a useful tool in pest control, particularly for training new technicians and inexperienced farmers.