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January 1, 2026International Journal of Sustainable Agricultural Management and Informatics

Lightweight semi-automated annotation workflow for plant datasets using vegetation indices

Roman Bumbálek Tomáš Zoubek Jean de Dieu Marcel Ufitikirezi Martin Filip Miroslav Strob Kalimu Karimunda Michal LIŠKA Radek Jech Petr Bartoš

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Key Points

The research aims to develop a lightweight semi-automated annotation workflow for plant datasets utilizing vegetation indices.
Developed a semi-automated annotation workflow for plant datasets using specified vegetation indices.
Evaluated the workflow's effectiveness in accuracy and efficiency compared to manual methods.
Demonstrated significant improvement in annotation speed compared to traditional manual methods.
Achieved high accuracy rates in classification of plant data using the proposed workflow.

Implication

Evaluates a semi-automated workflow for annotating plant datasets using vegetation indices, suggesting improved efficiency.

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Cite This Study

Bumbálek et al. (2026) studied this question.

synapsesocial.com/papers/6a1295bf48a0ea1665671eb7 https://doi.org/10.1504/ijsami.2026.10078622

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