IoT-Based Smart Agriculture for Onion Plant Disease Management: A Comprehensive Approach

Authors

  • Atul B. Kathole Department of Computer Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune-411018
  • Kapil Netaji Vhatkar Department of Computer Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune-411018
  • Savita Kumbhare Department of Computer Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune-411018
  • Jayashree Katti Professor, IT Department, Pimpri Chinchwad College of Engineering, Pune- 411044
  • Vinod V. Kimbahune Professor, Department of Computer Engineering, Dr. D. Y. Patil Institute of Technology, Pimpri, Pune-411018

Keywords:

IoT, Smart agriculture, onion Diseases management, sensor nodes

Abstract

The agricultural sector is witnessing a transformative shift with the integration of Internet of Things (IoT) technologies, offering innovative solutions to enhance crop management practices. This research focuses on leveraging IoT for the effective management of diseases affecting onion plants in agriculture. By employing a network of sensors, data analytics, and automated control systems, this study aims to create a smart agricultural framework that monitors, detects, and manages onion plant diseases in real-time.

The research begins with a thorough investigation into the common diseases affecting onion crops and their associated environmental factors. Subsequently, a robust IoT infrastructure is designed and implemented, comprising sensor nodes for monitoring soil moisture, temperature, humidity, and other relevant parameters. These sensor nodes communicate data to a central hub, where advanced analytics and machine learning algorithms analyze the information to detect early signs of diseases.

In response to disease detection, the IoT system employs automated control mechanisms, including precision irrigation, targeted application of agrochemicals, and the deployment of environmental control measures. The study also explores the integration of remote monitoring through mobile applications, allowing farmers to receive real-time alerts and make informed decisions promptly.

Through field trials and data analysis, the effectiveness of the IoT-based disease management system is evaluated, considering factors such as disease suppression, yield improvement, and resource efficiency. The research also addresses economic considerations and the scalability of the proposed IoT framework for widespread adoption in onion cultivation.

The findings of this study contribute to the advancement of precision agriculture and sustainable farming practices, demonstrating the potential of IoT in revolutionizing onion plant disease management. As the global demand for agricultural productivity increases, integrating smart technologies into traditional farming practices becomes paramount, and this research provides valuable insights for stakeholders in the agriculture and technology sectors.

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Published

29.01.2024

How to Cite

Kathole, A. B. ., Vhatkar, K. N. ., Kumbhare, S. ., Katti, J. ., & Kimbahune, V. V. . (2024). IoT-Based Smart Agriculture for Onion Plant Disease Management: A Comprehensive Approach. International Journal of Intelligent Systems and Applications in Engineering, 12(13s), 472 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4612

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Research Article