A Computer Vision Approach to Fertilizer Detection and Classification

Jens Lippel, Richard Bihlmeier, André Stuhlsatz, André Stuhlsatz

2025

Abstract

This paper introduces a computer vision based pipline for the classification of different types of fertilizers from collected images. For robust boundary detection of individual corns in a heap of grains, we used YOLO11 for classification and Segment Anything 2 for segmentation in an active learning fashion. The segmenter as well as the classifier are iteratively improved starting with an initial set of handcrafted training samples. Despite the high diversity in grain structures, the relatively simple camera setup and the limited number of handcrafted training samples, a classification accuracy of 99.996% was achieved.

Paper Citation

in Harvard Style

Lippel J., Bihlmeier R. and Stuhlsatz A. (2025). A Computer Vision Approach to Fertilizer Detection and Classification. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-728-3, SciTePress, pages 563-569. DOI: 10.5220/0013189300003912

in Bibtex Style

@conference{visapp25,
author={Jens Lippel and Richard Bihlmeier and André Stuhlsatz},
title={A Computer Vision Approach to Fertilizer Detection and Classification},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2025},
pages={563-569},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013189300003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - A Computer Vision Approach to Fertilizer Detection and Classification
SN - 978-989-758-728-3
AU - Lippel J.
AU - Bihlmeier R.
AU - Stuhlsatz A.
PY - 2025
SP - 563
EP - 569
DO - 10.5220/0013189300003912
PB - SciTePress