Intelligent automated monitoring and control system with iot for climate management and irrigation in greenhouses

This project presents the design of an intelligent monitoring and automated control system with IoT to optimize climate and irrigation management in greenhouses. The system integrates temperature, humidity, light, CO2 and soil moisture sensors, processing the data through an ESP32 microcontroller. The user interface, implemented through the Blynk and ThingSpeak platforms, allows remote monitoring and manual or automatic control of the greenhouse. The system incorporates drip irrigation and misting, dynamically adjusting to soil and environmental conditions. Programming includes automatic and manual modes, with hysteresis and timer functions to optimize actuator operation. Economic analysis demonstrates the feasibility and cost-effectiveness of the system, with a positive return on investment in the short term. This low-cost solution, based on ESP32 technology, offers an affordable alternative for small farmers, improving resource efficiency and increasing agricultural productivity in controlled environments.

Authors

Institutions

Publication Details

Journal
Revista Científica Multidisciplinar G-nerando
Published
2025-03-07
DOI
https://doi.org/10.60100/rcmg.v6i1.526
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intelligent automated monitoring and control system with iot for climate management and irrigation in greenhouses

Milton Cuenca, R. Rodríguez, Silvia Virginia Taipe Quilligana, Juan Carlos Pisco Vanegas
Revista Científica Multidisciplinar G-nerando
Wireless Sensor Networks and IoT
article

Intelligent automated monitoring and control system with iot for climate management and irrigation in greenhouses

Milton Cuenca, R. Rodríguez, Silvia Virginia Taipe Quilligana, Juan Carlos Pisco Vanegas
article en

Abstract

This project presents the design of an intelligent monitoring and automated control system with IoT to optimize climate and irrigation management in greenhouses. The system integrates temperature, humidity, light, CO2 and soil moisture sensors, processing the data through an ESP32 microcontroller. The user interface, implemented through the Blynk and ThingSpeak platforms, allows remote monitoring and manual or automatic control of the greenhouse. The system incorporates drip irrigation and misting, dynamically adjusting to soil and environmental conditions. Programming includes automatic and manual modes, with hysteresis and timer functions to optimize actuator operation. Economic analysis demonstrates the feasibility and cost-effectiveness of the system, with a positive return on investment in the short term. This low-cost solution, based on ESP32 technology, offers an affordable alternative for small farmers, improving resource efficiency and increasing agricultural productivity in controlled environments.

Revista Científica Multidisciplinar G-nerandoVol. 6(1)
Universidad Técnica Estatal de Quevedo (EC)
Openalex Percentile: Top 96%
Wireless Sensor Networks and IoT
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Intelligent automated monitoring and control system with iot for climate management and irrigation in greenhouses — Milton Cuenca, R. Rodríguez, et al. · Revista Científica Multidisciplinar G-nerando (2025) | TGRS Research Map | TGRS