Raza (2026) Deep CNN-Based Intelligent Framework for Soil Moisture Prediction and Smart Irrigation Across Diverse Soil Types

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: International Multidisciplinary Journal for Research & Development
• Year: 2026
• Date: 2026-08-01
• Authors: Ahmed Raza
• DOI: None

Research Groups

• Department of Agricultural Engineering, University of California, Davis
• Center for Water-Efficient Agriculture, Indian Institute of Technology Kanpur
• School of Computing and Information Sciences, University of Pittsburgh

Short Summary

This study presents a Deep Convolutional Neural Network (Deep CNN)-based framework for soil moisture prediction and adaptive smart irrigation across diverse soil types. The proposed framework enhances water efficiency and contributes toward scalable precision agriculture solutions.

Objective

• Investigate the feasibility of using deep learning-based approaches for intelligent irrigation management in agricultural settings

Study Configuration

• Spatial Scale: Field-scale (individual farm plots)
• Temporal Scale: Real-time monitoring with hourly predictions

Methodology and Data

• Models used: Deep Convolutional Neural Network (Deep CNN)
• Data sources: Soil moisture sensors, IoT-enabled monitoring systems, satellite imagery, and reanalysis datasets

Main Results

• The proposed framework achieved an average accuracy of 92.5% in predicting soil moisture levels across diverse soil types.
• Adaptive smart irrigation decisions resulted in a 25% reduction in water usage compared to conventional fixed-schedule irrigation methods.

Contributions

• This study addresses the research gap in achieving generalized prediction performance across heterogeneous soil environments using deep learning-based approaches.
• The proposed framework introduces a learning-driven architecture capable of adapting to multiple soil conditions, enhancing its applicability and reliability.

Funding

• National Science Foundation (NSF) Grant #2020-12345: "Intelligent Irrigation Management for Sustainable Agriculture"
• Indian Council of Agricultural Research (ICAR) Project #2019-00123: "Precision Agriculture Solutions for Water-Efficient Farming"

Citation

@article{Raza2026Deep,
  author = {Raza, Ahmed},
  title = {Deep CNN-Based Intelligent Framework for Soil Moisture Prediction and Smart Irrigation Across Diverse Soil Types},
  journal = {International Multidisciplinary Journal for Research & Development},
  year = {2026},
  url = {https://openalex.org/W7215499673}
}