IoT-Driven Smart Agriculture: A Multidisciplinary Approach for Precision Farming

Authors

  • Surabhi Akshay Patil Lecturer, Department of Computer Engineering, Sharad Institute of Technology Polytechnic Yadrav-Ichalkaranji, Kolhapur, Maharashtra, India
  • Tasbiha Niyaz Mulla Undergraduate, Department of Computer Engineering, Sharad Institute of Technology Polytechnic Yadrav-Ichalkaranji, Kolhapur, Maharashtra, India
  • Prerna Prakash Hogade Undergraduate, Department of Computer Engineering, Sharad Institute of Technology Polytechnic Yadrav-Ichalkaranji, Kolhapur, Maharashtra, India
  • Shraddha Anil Sontakke Undergraduate, Department of Computer Engineering, Sharad Institute of Technology Polytechnic Yadrav-Ichalkaranji, Kolhapur, Maharashtra, India
  • Siddhi Vilas Salunkhe Undergraduate, Department of Computer Engineering, Sharad Institute of Technology Polytechnic Yadrav-Ichalkaranji, Kolhapur, Maharashtra, India

Keywords:

AI, Automated irrigation, Cloud Computing, Crop monitoring, IoT, Precision farming, Smart agriculture

Abstract

Agriculture faces challenges such as climate variability, resource inefficiency, and food security concerns. The integration of Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing offers a promising solution for smart agriculture. This paper presents a Multidisciplinary Model for Smart Agriculture, designed to optimize crop monitoring, irrigation, and decision-making. The system employs IoT sensors to track soil moisture, temperature, humidity, and light intensity in real-time. The collected data is processed using AI algorithms to enable automated irrigation, yield prediction, and early disease detection. A mobile application provides remote access, allowing farmers to monitor and control farming operations efficiently.
The proposed model improves water conservation, reduces manual intervention, and enhances productivity. Additionally, the system leverages cloud computing and big data analytics to store and analyse historical data for future planning. Future enhancements include blockchain-based supply chain management, drone-assisted monitoring, and edge computing for real-time processing. By integrating these technologies, the system offers a scalable, cost-effective, and sustainable approach to modern farming. This research demonstrates how smart agriculture solutions can increase crop yield, minimize resource wastage, and ensure food security, making agriculture more resilient to climate change and economic challenges.

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Published

2025-04-07

Issue

Vol. 2 No. 1 (2025): January –April

Section

Articles