Hydrology and Climate Change Article Summaries

Unknown (2025) AIoT-Based Water Management Solution for Sustainable Sugarcane Farming

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

Identification

Research Groups

Not specified in the provided text.

Short Summary

This study develops an AIoT-based smart irrigation system for sustainable sugarcane farming, aiming to achieve significant water savings and improved crop yield through automated, precise water delivery.

Objective

Study Configuration

Methodology and Data

Main Results

The provided text describes the aims and expected benefits of the system rather than measured results. The developed AIoT system is designed to prevent over-irrigation, reduce labor, improve crop growth, conserve scarce groundwater resources, and increase production efficiency, ultimately leading to water savings and better crop yield in sugarcane farming.

Contributions

The development of a novel AIoT-based smart irrigation system specifically designed for sustainable sugarcane farming, integrating real-time sensor data with AI for automated, precise water delivery, and enhancing sustainability through potential renewable energy integration.

Funding

Not specified in the provided text.

Citation

@article{Unknown2025AIoTBased,
  author = {},
  title = {AIoT-Based Water Management Solution for Sustainable Sugarcane Farming},
  journal = {International Research Journal of Modernization in Engineering Technology and Science},
  year = {2025},
  doi = {10.56726/irjmets86906},
  url = {https://doi.org/10.56726/irjmets86906}
}

Original Source: https://doi.org/10.56726/irjmets86906