Smart Farming with IoT: Real-Time Monitoring and Resource Optimization

Authors

  • Mithlesh Arya Associate Professor, Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajasthan, India
  • Ashish Vats Undergraute Student, Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajasthan, India
  • Aditya Pareek Undergraute Student, Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajasthan, India
  • Vinay Soni Undergraute Student, Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajasthan, India
  • Megha Gupta Undergraute Student, Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajasthan, India
  • Abha Jain Undergraute Student, Department of Computer Science & Engineering, Swami Keshvanand Institute of Technology, Management & Gramothan, Jaipur, Rajasthan, India

Keywords:

IoT, Precision Agriculture, Real-Time Monitoring, Resource Optimization, Rice Crop, Smart Farming

Abstract

The growing global population has placed tremendous pressure on agriculture to produce more food with limited resources. Traditional farming practices, often based on experience and manual observation, fail to meet modern requirements for sustainability and efficiency. The Internet of Things (IoT) offers a solution through real-time monitoring, automation, and data-driven decision-making. This research explores how IoT-based smart farming systems can enhance productivity, optimize resource utilization, and improve crop health, using rice cultivation as a case study. The proposed IoT framework integrates sensors, cloud computing, and mobile applications to collect and analyze data on soil moisture, pH, temperature, and nutrient levels. Results demonstrate that IoT-enabled monitoring significantly improves irrigation and fertilizer management, leading to better yields and resource efficiency.

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Published

2025-11-24

Issue

Vol. 2 No. 3 (2025): September –December

Section

Articles