Design and implementation of an architecture to assist decision making in livestock 4.0
Fecha de publicación2021-07
Castells Gasia, Joan Pau
Universitat de Lleida. Escola Politècnica Superior
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A wide variety of low-cost sensors that describe different environmental variables are currently available for all sectors. However, more value can be derived from these data by combining it with models and other sources of information. To support these sectors in adapting this technology, this work presents a general cloud architecture that is able to integrate any type of sensor, detect and correct possible sensor errors, obtain information from other sources, incorporate models that generate value from the collected data, provide user-friendly graphical interfaces to interact with complex system processes, authentication and user roles mechanisms, and technologies that make easier to adapt the architecture to different environments. Moreover this architecture is applied in a livestock scenario in order to assist in farmer decisions.
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