Volume : 12, Issue : 4, APR 2026

IMPLEMENTATION OF AN INTELLIGENT PLANT MONITORING SYSTEM USING GSM TECHNOLOGY

DR. K. PRAVEENA*, B. SHYAM KUMAR, K. YASHWANTH RAM, MD.RAZA KHAN, J. NIKHIL KUMAR

Abstract

Agriculture is a critical sector that significantly contributes to food security and economic development. Early detection of plant diseases is essential to prevent crop losses and improve productivity. This paper presents the design and implementation of an intelligent plant monitoring system using GSM technology. The system is based on a Raspberry Pi platform integrated with a camera module, machine learning model, TFT display, and GSM module. The camera captures real-time images of plant leaves, which are processed using image processing and machine learning techniques to detect diseases. The results are displayed locally on a TFT screen and simultaneously sent to farmers via SMS using a GSM module. The system provides real-time monitoring, reduces dependency on manual inspection, and enables timely corrective actions. Experimental results demonstrate reliable disease detection, fast response time, and effective communication, making the system suitable for smart agriculture applications.

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IESRJ

International Educational Scientific Research Journal

E-ISSN: 2455-295X

International Indexed Journal | Multi-Disciplinary Refereed Research Journal

ISSN: 2455-295X

Peer-Reviewed Journal - Equivalent to UGC Approved Journal

Peer-Reviewed Journal

Article No : 16

Number of Downloads : 34

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