Revisión sistemática de literatura sobre el internet de las cosas enfocada a la agricultura de precisión

Abstract

Precision Agriculture enables an integrated environment to mitigate the problems that affect Harvesting, Production and Post-Harvest Storage. The main problem of this study is the identification of scientific literature on IoT focused on Precision Agriculture to know the situation of this technology in this specific area. The justification of this research is to publicize certain characteristics of IoT technology in the Precision Agriculture environment. The general objective is to determine the technological trends on the Internet of Things focused on precision agriculture through a systematic literature review. The methodology uses the Systematic Review of the Literature in three stages: Design the review, Conduct the review, and Report the review. A total of 42 articles were obtained from IEEE, ACM and Science Direct. The Technological Trends found are Big Data, Artificial Intelligence, Blockchain, Nanomaterials, Maps, Use of drones, Connectivity, Performance Monitoring and Traceability. The factors found are Ecological, Behavioral, Institutional, Informative, Technical, Perception and Adoption. This document details the percentages and quantities of the characteristics found in the 42 scientific articles that were selected.