Abstract
This paper shows the development semantic representation models of sensor data for monitoring agricultural crops. The purpose of this research article is explore the possible application of methodologies for ontologies in the process related to the agricultural environment and the information collected from the crop growth variables. therefore, improving interoporability becomes an important element in the treatment of large volumes of data, which will eventually help to make the right decisions and improve production in different types of crops.
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Gomez, J., Oviedo, B., Fernandez, A., Zuniga Sanchez, M.A., Mejía Viteri, J.T., Espana Leon, A.R. (2020). Semantic Representation Models of Sensor Data for Monitoring Agricultural Crops. In: Botto-Tobar, M., León-Acurio, J., Díaz Cadena, A., Montiel Díaz, P. (eds) Advances in Emerging Trends and Technologies. ICAETT 2019. Advances in Intelligent Systems and Computing, vol 1066. Springer, Cham. https://doi.org/10.1007/978-3-030-32022-5_4
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