Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 17, issue 1
Articles | Volume 17, issue 1
https://doi.org/10.5194/ms-17-469-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-17-469-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 1
Research article
 | 
17 Apr 2026
Research article |  | 17 Apr 2026

Cloud-based mapping of fragmented tobacco fields using multi-source remote sensing to support autonomous agricultural operations

Dongjie Zhao, Zheng Wang, Yabo Jin, and Shaoli Huang

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Short summary

Farm robots currently struggle in scattered fields due to a lack of precise map data. To solve this, we created a system using satellite imagery and AI to automatically generate accurate field boundaries. Our tests showed 93 % accuracy across different regions. This technology serves as "digital eyes" for machinery, replacing slow manual inputs with automated data. It enables robots to navigate and harvest continuously in complex smallholder farms, unlocking the full potential of smart agriculture.

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