Chandrappa et al. (2025) A dynamic real-time soil moisture identification system with interpolation capabilities for improved crop yield and water conservation

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-12-05
• Authors: Varun Yarehalli Chandrappa, Biplob Ray, Nahina Islam, Nanjappa Ashwath, Pramod Shreshta
• DOI: 10.1016/b978-0-443-34254-7.00005-2

Research Groups

• Central Queensland University, Centre for Machine Learning, Networking and Education Technology (CML-NET), School of Engineering and Technology, Melbourne, VIC, Australia
• Central Queensland University, School of Health, Medical and Applied Sciences, Melbourne, VIC, Australia
• Central Queensland University, School of Health, Medical and Applied Sciences, Rockhampton, QLD, Australia

Short Summary

This study develops a real-time soil moisture identification system using interpolation models to predict soil moisture across varying depths and horizontal locations with minimal sensors, aiming to optimize irrigation for improved crop yield and water conservation.

Objective

• To develop a dynamic real-time soil moisture identification system with interpolation capabilities to predict soil moisture levels across varying depths and horizontal locations using minimal sensors, thereby enabling precise irrigation for improved crop yield, water conservation, and reduced costs.

Study Configuration

• Spatial Scale: Field-scale, covering both vertical soil depths (customized to plant root zones) and horizontal unsampled locations.
• Temporal Scale: Real-time monitoring and prediction.

Methodology and Data

• Models used: Interpolation models and algorithms.
• Data sources: Real-time soil moisture sensors.

Main Results

• The provided text describes the objective and methodology but does not include specific results or quantitative findings.

Contributions

• Development of a scalable, cost-effective, and adaptable smart irrigation solution that uses real-time sensor data and interpolation to accurately map soil moisture across an entire field (vertically and horizontally) with fewer sensors. This enables tailored irrigation based on specific root zone requirements, leading to improved crop yield, water conservation, and reduced operational costs.

Funding

• Funding information is not provided in the given text.

Citation

@article{Chandrappa2025dynamic,
  author = {Chandrappa, Varun Yarehalli and Ray, Biplob and Islam, Nahina and Ashwath, Nanjappa and Shreshta, Pramod},
  title = {A dynamic real-time soil moisture identification system with interpolation capabilities for improved crop yield and water conservation},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-34254-7.00005-2},
  url = {https://doi.org/10.1016/b978-0-443-34254-7.00005-2}
}