Smart Green House Automated using AI and IOT

Abstract

Agriculture plays a crucial role in the global economy, and efficient crop production is essential to meet the increasing food demand. Greenhouses provide a controlled environment for crops; however, traditional greenhouse management relies heavily on manual monitoring, which is time-consuming and prone to human error. This research paper presents an IoT-based Smart Greenhouse System designed to monitor and analyze key environmental parameters such as temperature, humidity, and soil moisture in real time. The proposed system utilizes low-cost sensors integrated with a microcontroller and cloud-based platforms to enable remote monitoring and data visualization. By automating environmental data collection, the system improves crop health, optimizes resource usage, and enhances agricultural productivity. The results demonstrate that the system provides accurate readings and enables efficient greenhouse management with minimal human intervention.

KEYWORDS: Internet of Things (IoT), Smart Greenhouse, Temperature Monitoring, Humidity Sensor, Soil Moisture Sensor, Precision Agriculture