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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 10, OCTOBER 2025

AgreSense – Smart Sensing for Agriculture

Mr. Jaybhay D.S, Mr. Rushikesh Shrikrushna Darekar, Ms. Mansi Sunil Yewale

DOI: 10.17148/IJARCCE.2025.141050

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.

How to Cite:

[1] Mr. Jaybhay D.S, Mr. Rushikesh Shrikrushna Darekar, Ms. Mansi Sunil Yewale, “AgreSense – Smart Sensing for Agriculture,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141050