Desarrollo de plataforma de internet de las cosas para toma de decisiones en modelos de agricultura de precisión

Abstract

This research paper studies some of the technological solutions that are used for the creation or the implementation of precision farming systems in Colombia and other countries. In principle, it is consulted the state of the precision farming systems in Colombia, making a detailed comparison among other countries in South America; thereupon it is proposed a technological solution focused on the creation of an own precision crop model, based on the extraction and gathering of environmental data, coming from the remote sensors located within the network (point-to-multipoint). Where data security is paramount to provide availability and integrity. Consequently, encryption techniques and platforms are used, where data are fully protected. The information collected is sent via the means of wireless network protocols depending on the place and the necessities that are in the field, reason why it counts on the support of communication technologies like (ISM, XBEE, RFM69, WIFI, 2G, 3G and 4G). Once the data are consolidated and integrated, a historical support of climatic variations is obtained through the Azure portal, where the data are analyzed and studied through the tool Cognitive Service to result in a estimated rain probability.