Smart Soil Analyzer

This paper presents a Smart Soil Analyzer system that combines Internet of Things (IoT) and Artificial Intelligence (AI) technologies in farming. The main goal is to monitor soil health and environmental conditions in real time while allowing for early detection of plant diseases. The system uses multiple sensors, such as soil moisture, pH, temperature, and gas sensors, connected to an ESP32 microcontroller for data collection. The collected data is sent to a cloud-based Firebase platform and can be accessed through an Android app for live monitoring. Additionally, a Convolutional Neural Network (CNN) model is used to analyze leaf images and accurately identify plant diseases. The system also includes location-based Air Quality Index (AQI) analysis to recommend suitable air-purifying plants. Experimental results show high accuracy in data synchronization and disease prediction, offering a reliable and scalable solution for smart farming. This method boosts crop productivity, lowers manual effort, and supports sustainable farming.