• e - ISSN No : 2832-4277
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INTERNATIONAL JOURNAL OF RECENT TRENDS IN TECHNOLOGY AND ENGINEERING (IJRTTE)

Design and Deployment of Wireless Sensor Networks for Intelligent Precision Agriculture

Reena Grover
Department of Mathematics, Faculty of Engineering and Technology, SRM Institute of Science and Technology, India.
V. Hemamalini
Assistant Professor, Department of ECE, New Prince Shri Bhavani College of Engineering and Technology, India.
S. Ravichandran
Professor, Department of AI&ML, Kings Engineering College, India.

Keywords: Wireless Sensor Networks, Precision Agriculture, Multi-Sensor Fusion, Energy Efficient Communication, Real-Time Monitoring, Intelligent Decision Support, Sustainable Farming.

Abstract

The increasing demand for sustainable and efficient agricultural practices has accelerated the integration of wireless sensor networks (WSNs) into precision agriculture. However, existing research often remains limited to single-parameter monitoring, theoretical frameworks, or simulations lacking comprehensive real-world deployment validation. This paper presents the Design and Deployment of Wireless Sensor Networks for Intelligent Precision Agriculture, a fully integrated framework that addresses these gaps through multi sensor fusion, energy-optimized communication protocols, and intelligent AI-driven decision support systems. The proposed system incorporates diverse environmental parameters including soil nutrients, moisture, temperature, pH, and climate conditions, enabling real time adaptive management of agricultural resources. Advanced low-power wireless communication protocols and secure data acquisition mechanisms are implemented to ensure system scalability, robustness, and long-term field operation. Furthermore, embedded machine learning algorithms analyse sensor data for predictive recommendations on irrigation scheduling, fertilization, and crop health monitoring. Experimental deployment and performance evaluations demonstrate significant improvements in resource utilization efficiency, crop yield optimization, system longevity, and operational cost-effectiveness. The developed framework provides a scalable, intelligent, and practical solution for modern precision agriculture, contributing directly to sustainable farming and global food security goals.
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