Paper
5 June 2024 Design and research of a multifunctional intelligent agricultural robot
Lingzhi Zhou, Xunming Zhou, Boyang Chen, Miaoyu Yang, Siqi Li, Yuli Cheng, Qinfa Ling, Man Zhou
Author Affiliations +
Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 1316381 (2024) https://doi.org/10.1117/12.3030259
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China
Abstract
The increasing importance of global agriculture underscores the need for intelligent agricultural technology to play a central role in improving production efficiency. This study aims to conceptualize a versatile, intelligent agricultural robot by integrating an automatic path-planning system and sensors. Compared to traditional agricultural vehicles, this robot exhibits significant advantages in agricultural production. Using an automated path planning system, the robot adeptly navigates during operations, employing sensors to assess soil and vegetation conditions thoroughly. This meticulous assessment facilitates precision in fertilization and weeding processes. The incorporation of robots significantly enhances agricultural production efficiency, reduces chemical usage, decreases labor intensity for farmers, and mitigates environmental pollution caused by pesticides. As a result, this research not only propels the advancement of agricultural intelligence but also provides a new trajectory and potential for further development in this field.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Lingzhi Zhou, Xunming Zhou, Boyang Chen, Miaoyu Yang, Siqi Li, Yuli Cheng, Qinfa Ling, and Man Zhou "Design and research of a multifunctional intelligent agricultural robot", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 1316381 (5 June 2024); https://doi.org/10.1117/12.3030259
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KEYWORDS
Agriculture

Visualization

Design

Computer simulations

Evolutionary algorithms

Sensors

Sustainability

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