Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture

Year : 2024 | Volume : 14 | Issue : 02 | Page : 52 69
    By

    Namrata Deshmukh,

  • Rohit Deshmukh,

  • Aditya Shelke,

  • Chinmay Jadhav,

  • Sharayu Patil,

  1. Student, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (ViMEET), Khalapur, Maharashtra, India
  2. Student, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (ViMEET), Khalapur, Maharashtra, India
  3. Student, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (ViMEET), Khalapur, Maharashtra, India
  4. Student, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (ViMEET), Khalapur, Maharashtra, India
  5. Assistance Professor, Department of Computer Engineering, Vishwaniketan’s Institute of Management Entrepreneurship and Engineering Technology (ViMEET), Khalapur, Maharashtra, India

Abstract

Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture” explores the convergence of cutting-edge technologies in revolutionizing traditional farming practices towards sustainability. This study investigates the integration of Internet of Things (IoT), Artificial Intelligence (AI), and Image Processing techniques in agricultural contexts, aiming to enhance efficiency, productivity, and environmental stewardship. Through a comprehensive review of recent advancements and case studies, this research elucidates the transformative potential of IoT-enabled sensors for real-time monitoring of soil health, crop growth, and environmental conditions. Additionally, it delves into the application of AI algorithms for predictive analytics, decision-making support, and autonomous agricultural operations. Furthermore, the utilization of image processing algorithms for crop disease detection, and precision agriculture is examined. The synthesis of these technologies into an interconnected framework not only optimizes resource utilization and minimizes environmental impact but also promotes sustainable agricultural practices. This study underscores the imperative of embracing technological innovation to address the challenges facing modern agriculture while paving the way for a more sustainable and resilient food system.

Keywords: Precision agriculture, sensor monitoring, machine learning, crop prediction, sustainable agriculture, IoT (Internet of Things), AI (Artificial Intelligence), image processing, farming technology, precision agriculture, environmental stewardship, resource optimization, agricultural innovation

[This article belongs to Journal of Communication Engineering & Systems ]

How to cite this article:
Namrata Deshmukh, Rohit Deshmukh, Aditya Shelke, Chinmay Jadhav, Sharayu Patil. Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture. Journal of Communication Engineering & Systems. 2024; 14(02):52-69.
How to cite this URL:
Namrata Deshmukh, Rohit Deshmukh, Aditya Shelke, Chinmay Jadhav, Sharayu Patil. Farming Forward: Integrating IoT, AI, and Image Processing for Sustainable Agriculture. Journal of Communication Engineering & Systems. 2024; 14(02):52-69. Available from: https://journals.stmjournals.com/joces/article=2024/view=152679


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Regular Issue Subscription Review Article
Volume 14
Issue 02
Received 08/05/2024
Accepted 30/05/2024
Published 02/07/2024
435

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