Smart agriculture : implementing IoT for greenhouse monitoring

Abstract

Modern agriculture demands sustainable and efficient farming methods to tackle climate change and resource scarcity. Greenhouse farming, in particular, faces inefficiencies in resource management and production. This thesis addresses these issues by developing an IoT-based system to monitor key environmental parameters in greenhouses. The goal was to use sensor data to optimise resource use and promote healthier plant growth.

To achieve this, a system was created using ESP32 devices to collect data from the greenhouse environment. These devices send the data to a central computer program that organises and stores the information in a database. This setup is flexible, allowing easy integration of new devices.

The system was tested over 45 days in a greenhouse, operating reliably without missing data or needing maintenance. The results demonstrated that the system met the necessary performance standards, showing its potential to improve greenhouse farming efficiency and sustainability significantly. This project provides a valuable solution for optimising resource utilisation and enhancing plant growth in controlled environments, addressing critical agricultural challenges.