Mauricio Danilo Chiliquinga Malliquinga

Mauricio Danilo Chiliquinga Malliquinga


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 September 2022 in Sensors
Verified
Journal Article
Open access
PDF file
Fabián RiveraFabián Rivera
Fabián Rivera
Edison David Mañay ChochosEdison David Mañay Chochos
Edison David Mañay Chochos
MMMauricio Danilo Chiliquinga Malliquinga
Mauricio Danilo Chiliquinga Malliquinga
Paúl Francisco Baldeón EgasPaúl Francisco Baldeón Egas
Paúl Francisco Baldeón Egas
Renato Mauricio Toasa GuachiRenato Mauricio Toasa Guachi
Renato Mauricio Toasa Guachi
This article focuses on the development of a system based on the long-range network (LoRa), which is used for monitoring the agricultural sector and is implemented in areas of the Andean region of Ecuador. The LoRa network is applied for the analysis of climatic parameters by monitoring temperature, relative humidity, soil moisture and ultraviolet radiation. It consists of two transmitter nodes and one receiver node, a LoRa Gateway with two communication channels for data reception and one for data transmission, and an IoT server. In addition, a graphical user interface has been developed in Thinger.io to monitor the crops and remotely control the actuators. The research conducted contains useful information for the deployment of a LoRa network in agricultural crops located in mountainous areas above 2910 m.a.s.l., where there are terrains with irregular orography, reaching a coverage of 50 hectares and a range distance of 875 m to the farthest point in the community of Chirinche Bajo, Ecuador. An average RSSI of the radio link of −122 dBm was obtained in areas with a 15% slope and 130 m difference in height according to the Gateway, where the presence of vegetation, eucalyptus trees and no line-of-sight generated interference to the radio signal. The success rate of PDR packet delivery with an SF of nine, had a better performance, with values of no less than 76% and 92% in uplink and downlink respectively. Finally, the technological gap is reduced, since the network reaches places where traditional technologies do not exist, allowing farmers to make timely decisions in the production process in the face of adverse weather events.