SOIL MONITORING SYSTEM USING A COMPUTERIZED SYSTEM

Abstract

His work presents an automated monitoring system for soil analysis and plant health tracking, with a case study on basil. Using a sensor that measures moisture, temperature, pH, and macronutrients, the system collects real-time data, processed by a device called Raspberry Pi and stored in a database. Additionally, images of the plants are captured for growth analysis and anomaly detection. The results showed that the system provides data that optimize the growing environment, contributing to practical management and reducing the risk of plant loss. The conclusion reinforces the importance of integrating technology into agriculture.

Keywords: Automation; Soil monitoring; soil sensor; artificial intelligence; raspberry pi.