Precision weeding in sugar beet farming: UAV monitoring of robotic systems

A. Barreto; D. Koops; T. Fritsch; A. Ungru; F.R. Ispizua Yamati; S. Paulus; A.-K. Mahlein

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Precision weeding in sugar beet farming: UAV monitoring of robotic systems

In: Precision agriculture '25

Authors:

A. Barreto

A. Barreto
Barreto@ifzgoettingen.de

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D. Koops

D. Koops

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T. Fritsch

T. Fritsch

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A. Ungru

A. Ungru

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F.R. Ispizua Yamati

F.R. Ispizua Yamati

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S. Paulus

S. Paulus

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A.-K. Mahlein

A.-K. Mahlein

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Type:: Chapter

Pages:: 657–663

DOI:: https://doi.org/10.1163/9789004725232_086

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Dar Hadith al Hassania

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Weeding robots are revolutionizing sugar beet farming. The performance of these systems is typically evaluated based on weed control efficacy (WCE), crop damage, and herbicide savings. While robots demonstrate WCE comparable to conventional methods, optimizing their performance requires improvements in crop and weed detection, reduced crop damage, and identification of critical operational timings. This study employed high-resolution RGB UAV imagery to evaluate seven robotic weeding strategies by tracking plant status pre- and post-weeding. Results showed that UAV-based analyses effectively identified strategies with the highest crop losses (up to 8%). However, UAV-based statistical analysis closely matched traditional scoring methods in differentiating weeding strategies. These findings underscore the potential of UAV technology as a powerful tool for evaluating and optimizing weed control systems contributing indirectly to the reduction of fungicide use.

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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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Precision weeding in sugar beet farming: UAV monitoring of robotic systems

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Precision agriculture '25

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