Leveraging Deep Learning and Cloud Computing for Water Usage Optimization in Agriculture: A Study

Year : 2025 | Volume : 12 | Issue : 02 | Page : 83 91
    By

    Karan Singh Pawar,

  • Swati Khanve,

  • Nitya Khare,

  1. Student, Department of Computer Science and Engineering, Sagar Institute of Research & Technology Excellence, Bhopal, Madhya Pradesh, India
  2. Assistant Professor, Department of Computer Science and Engineering, Sagar Institute of Research & Technology Excellence, Bhopal, Madhya Pradesh, India
  3. Professor, Department of Computer Science and Engineering, Sagar Institute of Research & Technology Excellence, Bhopal, Madhya Pradesh, India

Abstract

Water scarcity and inefficient irrigation practices are significant challenges in modern agriculture. This research investigates how deep learning and cloud computing can be combined to enhance water efficiency in agricultural practices. Leveraging advancements in deep learning and cloud computing, researchers have developed innovative solutions for optimizing water usage. This review examines the state-of-the-art methodologies, technologies, and applications in smart irrigation systems. It explores how deep learning models and cloud platforms are transforming agricultural water management by enabling predictive analytics, real-time monitoring, and adaptive control mechanisms. Running deep learning models on the cloud can be energy-intensive. Future studies should explore energy-efficient AI models and sustainable cloud computing solutions. Obtaining accurate, real-time agricultural data continues to be a significant challenge. Future studies should prioritize creating improved data collection methods and incorporating a wider range of datasets. The study also highlights key challenges and future directions for integrating these technologies into large-scale agricultural practices.

Keywords: Deep learning, cloud computing, agriculture, water usage, PVC

[This article belongs to Journal of Artificial Intelligence Research & Advances ]

How to cite this article:
Karan Singh Pawar, Swati Khanve, Nitya Khare. Leveraging Deep Learning and Cloud Computing for Water Usage Optimization in Agriculture: A Study. Journal of Artificial Intelligence Research & Advances. 2025; 12(02):83-91.
How to cite this URL:
Karan Singh Pawar, Swati Khanve, Nitya Khare. Leveraging Deep Learning and Cloud Computing for Water Usage Optimization in Agriculture: A Study. Journal of Artificial Intelligence Research & Advances. 2025; 12(02):83-91. Available from: https://journals.stmjournals.com/joaira/article=2025/view=209237


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Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 28/03/2025
Accepted 14/04/2025
Published 01/05/2025
Publication Time 34 Days
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