Abstract
An overview of a greenhouse monitoring system that was constructed utilizing IoT devices and sensors is provided in this abstract. By offering real-time monitoring and management of environmental elements essential for plant development, the system attempts to optimize the cultivation process. Sensors with IoT capabilities gather information on temperature, humidity, light intensity, soil moisture, and CO2 levels, which is then sent to a central hub or cloud platform for analysis. The system has benefits including automation, data-driven decision-making, and remote monitoring. On their cell phones, farmers may get real-time data and warnings, allowing for flexible control of greenhouse operations. In order to find trends and recommend measures for enhancing agricultural output and resource utilisation, machine learning algorithms analyse the sensor data. Automation enables accurate environmental parameter management, lowering human error and increasing productivity. Farmers may increase crop output, maximise resource usage, and support sustainable agricultural practises by putting in place an IoT-based greenhouse monitoring system.
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