An IoT Based Greenhouse Remote Monitoring System for Automation of Supervision for Optimal Plant Growth

A greenhouse regulates both indoor and outdoor characteristics to create a controlled environment that fosters ideal circumstances for plant development. This research presents a comprehensive remote monitoring system for greenhouses that is intended to identify and control important environmental factors. The system uses a variety of sensors to measure air pressure, soil moisture, pH, temperature, humidity, light, and carbon dioxide levels indoors. Rainfall and other outdoor factors, such as wind direction and speed, are also tracked. Sensors such as the DHT11 for temperature and humidity, the LM393 for light, the MG811 for carbon dioxide, the LM293 for soil moisture, the ES-PH-NOI-TR-l for soil pH, the IC-RK120-03 for wind speed and direction, and the ACS72981 for precipitation are all used by the greenhouse remote monitoring system. At predetermined places, these sensors continuously assess particular environmental parameters. They then use machine learning algorithms to send measurement data to the control platform. The system sends a signal to the controller of the associated sensor when it detects a change in value. This enables prompt modifications to be made using terminal valves (such as water valves, heating, droppers, and spray irrigation). Applications in agriculture, horticulture, and animal husbandry make use of the Internet of Things (IoT)-enabled greenhouse remote monitoring system, which offers vital information and makes real-time modifications for the proper growth of ecological crops possible. The system ensures scientific monitoring and management while automating supervision. Based on parameters like accuracy, sensitivity, specificity, fl-score, recall, and precision in relation to current techniques, a performance analysis of the suggested system is carried out. The goal of this research is to further greenhouse technology by providing a dependable and effective method for managing and cultivating plants in controlled conditions.