AgroSyncX: A Modular IoT Architecture for Real-Time Agricultural Monitoring and Security with Performance Assessment

Modern agriculture faces growing challenges including unpredictable climate, resource scarcity, and increasing security threats. To address these issues, this paper presents AgroSyncX, a unified system that integrates real-time environmental sensing and farm surveillance using an IoT-based architecture. AgroSyncX leverages ESP32 microcontrollers, soil moisture and temperature sensors, and an IP camera for continuous monitoring. Sensor data is transmitted using MQTT and visualized through a web-based dashboard developed in Next.js. The system provides farmers with actionable insights through real-time graphs, alerts, and live video feeds. This paper provides a performance evaluation of AgroSyncX under varied conditions and demonstrates its effectiveness in improving decision-making, enhancing crop care, and reducing security risks.

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Publication Details

Published
2025-06-07
DOI
https://doi.org/10.38124/ijisrt/25may2228
Primary Topic
Smart Agriculture and AI
Type
article
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AgroSyncX: A Modular IoT Architecture for Real-Time Agricultural Monitoring and Security with Performance Assessment

Santu Maity, Santanu Kumar Bhowmik
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Smart Agriculture and AI
article

AgroSyncX: A Modular IoT Architecture for Real-Time Agricultural Monitoring and Security with Performance Assessment

Santu Maity, Santanu Kumar Bhowmik
article en

Abstract

Modern agriculture faces growing challenges including unpredictable climate, resource scarcity, and increasing security threats. To address these issues, this paper presents AgroSyncX, a unified system that integrates real-time environmental sensing and farm surveillance using an IoT-based architecture. AgroSyncX leverages ESP32 microcontrollers, soil moisture and temperature sensors, and an IP camera for continuous monitoring. Sensor data is transmitted using MQTT and visualized through a web-based dashboard developed in Next.js. The system provides farmers with actionable insights through real-time graphs, alerts, and live video feeds. This paper provides a performance evaluation of AgroSyncX under varied conditions and demonstrates its effectiveness in improving decision-making, enhancing crop care, and reducing security risks.

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Smart Agriculture and AI
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