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Design and research of a multifunctional intelligent agricultural robot

Lingzhi Zhou, Xunming Zhou, Boyang Chen, Miaoyu Yang, S.Z. Li, Yuli Cheng, Qinfa Ling, Man Zhou

Year
2024
Citations
5

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.

Keywords

RobotAgricultureComputer scienceHuman–computer interactionSystems engineeringArtificial intelligenceEngineeringGeography

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