International Journal of Advanced Research in Computer and Communication Engineering

Abstract: The AgreSense system is an intelligent agricultural solution that leverages a combination of the Internet of Things (IoT), artificial intelligence (AI), and advanced sensors for real-time monitoring of soil and crop health. It gathers critical data points, including soil moisture, temperature, pH, and electrical conductivity (EC). This information is then processed to deliver automated recommendations for optimizing irrigation schedules and nutrient management.
Architecturally, the system is built using cost-effective sensors and ESP32 microcontrollers. It employs LoRa (Long Range) communication technology for efficient, long-distance data transmission. At its core, data analytics and machine learning models are used to process the incoming data, enabling predictive insights for irrigation needs and strategies to maximize crop yield. This paper outlines the design, practical implementation, and performance evaluation of AgreSense, focusing on its affordability, scalability, and overall contribution to the advancement of precision farming.

Keywords: - Smart Agriculture, IoT, LoRa, ESP32, AI, Machine Learning, Precision Farming, Soil Monitoring.

Downloads: | DOI: 10.17148/IJARCCE.2025.141050