Optimizing autonomous robot movement for data collection in precision horticulture

B. Ambrus; G. Teschner; A.J. Kovács; M. Neményi; A. Nyéki

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Optimizing autonomous robot movement for data collection in precision horticulture

In: Precision agriculture '25

Authors:

B. Ambrus

B. Ambrus ambrus.balint@sze.hu

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G. Teschner

G. Teschner
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A.J. Kovács

A.J. Kovács
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M. Neményi

M. Neményi
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A. Nyéki

A. Nyéki
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Type:: Chapter

Pages:: 969–976

DOI:: https://doi.org/10.1163/9789004725232_127

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Dar Hadith al Hassania

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This study investigates the autonomous navigation capabilities of a custom-designed agricultural robot, focusing on its path planning, motion control, and performance evaluation. The robot integrates advanced systems, including a GNSS receiver with RTK corrections, Cube Orange autopilot and PID (proportional integral derivative) controllers for precise navigation. Field tests involved trajectory mapping between defined points, with data analysis revealing the relationships between angular deviations, motor speed differentials and positional accuracy. Results demonstrated strong correlations between angular velocity and deviations, highlighting areas for control system optimization. The findings aim to improve autonomous navigation frameworks in agricultural applications, promoting enhanced efficiency and precision in field operations.

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Precision agriculture '25

E-Book ISBN:: 9789004725232

Publisher:: Wageningen Academic

Print Publication Date:: 18 Jun 2025

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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Optimizing autonomous robot movement for data collection in precision horticulture

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Precision agriculture '25

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