Automated Detection of Culture Vessel Contamination in Plant Tissue Culture Using Machine Learning

S.n.d. Hettiarachchi; R.g.k. Sankalpana; Chathurika Sewwandi Sılva

doi:10.29133/yyutbd.1653126

Automated Detection of Culture Vessel Contamination in Plant Tissue Culture Using Machine Learning

Abstract

The rising demand for reliable plant tissue cultures in agriculture underscores the critical need for early detection of microbial contamination in culture vessels. Conventional detection methods often lack sensitivity in identifying contamination at initial stages, which can result in compromised cultures and substantial economic losses. This research focuses on developing an automated detection system for microbial contamination in plant tissue cultures. The study involved the design and implementation of a macroscopic image acquisition prototype of culture vessel contamination of Oryza sativa. The acquired images underwent preprocessing, including normalization and enhancement techniques, followed by feature engineering for effective data extraction of color and textural features. The extracted features were subsequently analyzed using supervised and unsupervised machine learning models. Supervised machine learning models such as support vector machine, K-nearest neighbors and Discriminant analysis showed high accuracy with Discriminant analysis scoring 99.6%, which is the highest. K-means clustering accurately identified the grouping by distinguishing contaminated from non-contaminated samples, while the Isolation forest indicated the presence of microbial contamination. Overall, the approach presented in this research proves the capability of detecting microbial contamination with macroscopic image processing and machine learning.

Keywords

References

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Details

Primary Language

English

Subjects

Genetically Modified Horticulture Plants, Plant Biotechnology in Agriculture, Agricultural Biotechnology Diagnostics

Journal Section

Research Article

Authors

S.n.d. Hettiarachchi
0009-0008-7820-0885
Sri Lanka

R.g.k. Sankalpana
0009-0003-7194-6530
Sri Lanka

Chathurika Sewwandi Sılva ^*
0000-0002-3914-5392
Sri Lanka

Publication Date

April 30, 2026

Submission Date

March 9, 2025

Acceptance Date

March 13, 2026

Published in Issue

Year 2026 Number: 1

DOI

https://doi.org/10.29133/yyutbd.1653126

IZ

https://izlik.org/JA28PX37RZ

Cite

RIS / Bibtex

APA

Hettiarachchi, S., Sankalpana, R., & Sılva, C. S. (2026). Automated Detection of Culture Vessel Contamination in Plant Tissue Culture Using Machine Learning. Yuzuncu Yıl University Journal of Agricultural Sciences, 1, 1653126. https://doi.org/10.29133/yyutbd.1653126

AMA

1.Hettiarachchi S, Sankalpana R, Sılva CS. Automated Detection of Culture Vessel Contamination in Plant Tissue Culture Using Machine Learning. YYU J AGR SCI. 2026;(1):1653126. doi:10.29133/yyutbd.1653126

Chicago

Hettiarachchi, S.n.d., R.g.k. Sankalpana, and Chathurika Sewwandi Sılva. 2026. “Automated Detection of Culture Vessel Contamination in Plant Tissue Culture Using Machine Learning”. Yuzuncu Yıl University Journal of Agricultural Sciences, no. 1: 1653126. https://doi.org/10.29133/yyutbd.1653126.

EndNote

Hettiarachchi S, Sankalpana R, Sılva CS (April 1, 2026) Automated Detection of Culture Vessel Contamination in Plant Tissue Culture Using Machine Learning. Yuzuncu Yıl University Journal of Agricultural Sciences 1 1653126.

IEEE

[1]S. Hettiarachchi, R. Sankalpana, and C. S. Sılva, “Automated Detection of Culture Vessel Contamination in Plant Tissue Culture Using Machine Learning”, YYU J AGR SCI, no. 1, p. 1653126, Apr. 2026, doi: 10.29133/yyutbd.1653126.

ISNAD

Hettiarachchi, S.n.d. - Sankalpana, R.g.k. - Sılva, Chathurika Sewwandi. “Automated Detection of Culture Vessel Contamination in Plant Tissue Culture Using Machine Learning”. Yuzuncu Yıl University Journal of Agricultural Sciences. 1 (April 1, 2026): 1653126. https://doi.org/10.29133/yyutbd.1653126.

JAMA

1.Hettiarachchi S, Sankalpana R, Sılva CS. Automated Detection of Culture Vessel Contamination in Plant Tissue Culture Using Machine Learning. YYU J AGR SCI. 2026;:1653126.

MLA

Hettiarachchi, S.n.d., et al. “Automated Detection of Culture Vessel Contamination in Plant Tissue Culture Using Machine Learning”. Yuzuncu Yıl University Journal of Agricultural Sciences, no. 1, Apr. 2026, p. 1653126, doi:10.29133/yyutbd.1653126.

Vancouver

1.S.n.d. Hettiarachchi, R.g.k. Sankalpana, Chathurika Sewwandi Sılva. Automated Detection of Culture Vessel Contamination in Plant Tissue Culture Using Machine Learning. YYU J AGR SCI. 2026 Apr. 1;(1):1653126. doi:10.29133/yyutbd.1653126