Desarrollo de una herramienta software para el control de un sistema de fenotipado basado en visión artificial

1. Fernando Pérez Sanz
2. Pedro Javier Navarro Lorente
3. Julia Rosl Weiss
4. Marcos Egea Gutiérrez-Cortines

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Altres publicacions en: Anuario de Jóvenes Investigadores

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Computer vision systems a llow to automate the process of obtai ning phenotypic fea tures in plants. These systems produce large amounts of data in a quick fash ion and with a low associated cost. In this work we present a flexible software tool for phen otyping analysis based on computer vision. The tool allows a total management of the experimen t parameters such as experiment time, hours of night-time and daytime periods or use of different cameras with time of image acquisition. The system has been programmed in C++ allowing it to be applied in different co mputer environments, using different computer vision algo rithms to perform image processing

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