Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

Design of an Autonomous System Applying IoT for the Correct Monitoring of the Municipal Nursery of the District of Mi Perú - Callao

Ricaldi-Cerdan J.; Andrade-Arenas L. · International Journal of Engineering Trends and Technology (2023) · DOI: 10.14445/22315381/ijett-v71i9p226

Resumen

The contamination of the biodiversity that exists in the Peruvian territory has caused the authorities and the Ministry of the Environment to promote the implementation of various nurseries in the municipalities and regions, among others, whose objective is to produce various species of plants to meet the demands of reforestation programs due to global warming that the planet welcomes. That is why the Municipality of the commune of Mi Perú, located in the Callao region, committed itself in recent years to implement a nursery, in which it has generated more than 100 species of plants, where it was observed that the process could be optimized of insemination and production, using a system that provides a more efficient and practical follow-up. That is why, faced with this problem, the design of an autonomous system applying IoT using renewable energies for the correct nursery inspection is proposed. It is intended to use the ESP32 platform and environmental sensors, such as temperature (DHT11), humidity of the soil (FC-28), hydrogen energy (Ph4502C) and ultraviolet radiation (ML8511), in which they will work with actuators that will simulate ventilation and automatic irrigation pumping. Finally, the system is intended to serve as an economic and universal instrument to monitor the various biodiversity according to the requirement or case studies. In addition, IoT technology will facilitate more autonomous control through the GRAFANA virtual platform that is used to monitor in real-time and store in the Influx DB database.

Instituciones: Universidad de Ciencias y Humanidades