Abstract:
Purpose: The purpose of this study is to develop a cost-effective IoT-based
greenhouse monitoring system that automates the control of critical environmental
parameters such as temperature, humidity, soil pH, and electrical conductivity (EC).
The research aims to address inefficiencies in traditional manual methods and provide
a scalable solution that can be adapted for diverse agricultural applications.
Design/methodology/approach: A structured survey of 25 greenhouse farmers in the
Gampaha District of Sri Lanka identified key environmental challenges, including
temperature and humidity management and nutrient delivery. Based on these findings,
an IoT system using Arduino and GSM modules was designed and simulated using
Proteus software to evaluate its ability to maintain optimal conditions. Real-time data
is transmitted via GSM modules, allowing remote monitoring and control.
Findings: The system successfully regulated temperature, humidity, and pH levels,
providing consistent environmental conditions. The simulation results showed rapid
responsiveness and reliable data transmission, demonstrating the system's potential to
reduce manual intervention and optimize crop growth. Practical implications: The system offers a low-cost and adaptable solution for
small-scale farmers, enhancing crop productivity while minimizing labor costs. Its
flexible configuration enables application to different crop types, making it suitable
for varied greenhouse setups.
Originality/value: This research presents a unique, scalable IoT solution for small-
and medium-scale greenhouses, contributing to sustainable agricultural practices by
integrating real-time monitoring and automated environmental control.
