Intelligent automated monitoring and control system with iot for climate management and irrigation in greenhouses
Year: 2025
Type: article
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.
Authors: Milton Geovanny Cuenca Cabrera, Rivaldo Raúl Rodas Rodríguez, Silvia Virginia Taipe Quilligana, Juan Carlos Pisco Vanegas
Institution: Universidad Técnica Estatal de Quevedo
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W4408285532