An Approach for Multi-Depth Soil Water Content Prediction with Weather forecasts accountability

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{181779,
        author = {Rushikesh Sanjay Patil and Jayesh Pramod Fegade and Mihir Fakira Mahajan and Prof. R. A. Agrawal and Dr. S. M. Shinde},
        title = {An Approach for Multi-Depth Soil Water Content Prediction with Weather forecasts accountability},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {5447-5451},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181779},
        abstract = {},
        keywords = {},
        month = {June},
        }

Cite This Article

Patil, R. S., & Fegade, J. P., & Mahajan, M. F., & Agrawal, P. R. A., & Shinde, D. S. M. (2025). An Approach for Multi-Depth Soil Water Content Prediction with Weather forecasts accountability. International Journal of Innovative Research in Technology (IJIRT), 12(1), 5447–5451.

Related Articles