Fu (2025) Robotic autonomous systems for unconstructed land reclamation and preparation

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

Identification

• Journal: Springer Link (Chiba Institute of Technology)
• Year: 2025
• Date: 2025-12-16
• Authors: Yuxiang Fu
• DOI: 10.1051/itmconf/20258003014/pdf

Research Groups

Not specified in the provided text.

Short Summary

This paper proposes that integrating robotics and artificial intelligence into modern agriculture can transform under-utilized lands into productive and sustainable areas by enhancing precision, efficiency, and real-time monitoring.

Objective

• To explore how incorporating robotics and artificial intelligence into modern agriculture can make under-utilized lands productive and sustainable, thereby increasing both productivity and sustainability.

Study Configuration

• Spatial Scale: Global (referencing "world’s land" and "under-utilized lands"), conceptual.
• Temporal Scale: Long-term (referencing "continual gains" and "sustainable"), conceptual.

Methodology and Data

• Models used: Not applicable; conceptual discussion of technological applications.
• Data sources: Real-time sensor data (conceptual); no specific sources provided.

Main Results

• Robotics and artificial intelligence are proposed as key technologies to reclaim under-utilized lands for agricultural production.
• Automated systems for key agricultural practices (sowing, irrigation, harvesting) are identified as means to significantly boost precision and efficiency.
• Automated sensors and real-time data collection technologies are highlighted for enabling continuous field monitoring, informed decision-making, and optimal resource use.
• The integration of these technologies is projected to increase both the productivity and sustainability of under-utilized lands.

Contributions

• The article provides a conceptual framework for leveraging robotics and artificial intelligence to address the global challenge of under-utilized agricultural lands, emphasizing the potential for enhanced precision, efficiency, and sustainability in modern agriculture.

Funding

Not specified in the provided text.

Citation

@article{Fu2025Robotic,
  author = {Fu, Yuxiang},
  title = {Robotic autonomous systems for unconstructed land reclamation and preparation},
  journal = {Springer Link (Chiba Institute of Technology)},
  year = {2025},
  doi = {10.1051/itmconf/20258003014/pdf},
  url = {https://doi.org/10.1051/itmconf/20258003014/pdf}
}