Propuesta de una Plataforma de Bajo Costo Basada en Internet de las Cosas para Agricultura Inteligente.

Abstract

Traditional agriculture is affected in yield and quality by different external environmental factors. To face this problem, technological innovation becomes necessary since it allows the optimization of resources invested in the crops to make them more productive and profitable. One innovation alternative for the agricultural sector is the implementation of the Internet of Things (IoT). Thus, this work proposes the implementation of a low-cost hardware and software solution that allows to store and analyze environmental data of the crops in a centralized and remote way. This data will help to later make forecasts with greater precision in environmental indicators such as humidity and temperature. For the development of this proposal, NodeMCU ESP8266 microcontrollers, DTH22 temperature / humidity sensors, and MH-RD rain sensors were used. A dashboard was developed to analyze the data in real time by using the node-red tool. In order for the system to interact with the remote sensors, a wireless connection was used through the MQTTprotocol. The trials of this proposal were made in the agricultural parcels of the Universidad de las Fuerzas Armadas ESPE, Santo Domingo Headquarters. The results obtained through the operation of the prototype had greater precision compared to a thermo-hygrometer and the Google weather application