Precision Agriculture and Sensor Systems Applications in Colombia through 5G Networks

The growing global demand for food and the environmental impact caused by agriculture have made this activity increasingly dependent on electronics, information technology, and telecommunications technologies. In Colombia, agriculture is of great importance not only as a commercial activity, but als...

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Bibliographic Details
Main Authors: Arrubla-Hoyos, Wilson, Ojeda-Beltrán, Adelaida, Solano-Barliza, Andrés, Rambauth-Ibarra, Geovanny, Barrios-Ulloa, Alexis, Cama-Pinto, Dora, Arrabal Campos, Francisco Manuel, Martínez Lao, Juan Antonio, Cama-Pinto, Alejandro, Manzano Agugliaro, Francisco Rogelio
Format: info:eu-repo/semantics/article
Language:English
Published: MDPI 2022
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Online Access:http://hdl.handle.net/10835/14024
Description
Summary:The growing global demand for food and the environmental impact caused by agriculture have made this activity increasingly dependent on electronics, information technology, and telecommunications technologies. In Colombia, agriculture is of great importance not only as a commercial activity, but also as a source of food and employment. However, the concept of smart agriculture has not been widely applied in this country, resulting in the high production of various types of crops due to the planting of large areas of land, rather than optimization of the processes involved in the activity. Due to its technical characteristics and the radio spectrum considered in its deployment, 5G can be seen as one of the technologies that could generate the greatest benefits for the Colombian agricultural sector, especially in the most remote rural areas, which currently lack mobile network coverage. This article provides an overview of the current 5G technology landscape in Colombia and presents examples of possible 5G/IoT applications that could be developed in Colombian fields. The results show that 5G could facilitate the implementation of the smart farm in Colombia, improving current production and efficiency. It is useful when designing 5G implementation plans and strategies, since it categorizes crops by regions and products. This is based on budget availability, population density, and regional development plans, among others.