1 publication

• Published Subscription Review Article 15 May 2025

  A Study of Cloud-Enabled Deep Learning for Monitoring and Predicting Soil Health in Agriculture

  By Ritik Sahu, Vinay Lowanshi, Nitya Khare

  Abstract: Soil health is a critical factor in ensuring sustainable agricultural practices and food security. Traditional methods for soil health assessment are often time-consuming, localized, and lack scalability. This study explores the integration of cloud-enabled deep learning techniques to monitor and predict soil health efficiently. Leveraging data from IoT sensors, satellite imagery, and lab-based analyses, a cloud-based framework is proposed to process and analyze soil health parameters such as pH, moisture …

  Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article →