Improved Pest Detection in Insect Larvae Rearing with Pseudo-Labelling and Spatio-Temporal Masking

Paweł Majewski, Piotr Lampa, Robert Burduk, Jacek Reiner

2024

Abstract

Pest detection is an important application problem as it enables early reaction by the farmer in situations of unacceptable pest infestation. Developing an effective pest detection model is challenging due to the problem of creating a representative dataset, as episodes of pest occurrence under real rearing conditions are rare. Detecting the pest Alphitobius diaperinus Panzer in mealworm (Tenebrio molitor) rearing, addressed in this work, is particularly difficult due to the relatively small size of detection objects, the high similarity between detection objects and background elements, and the dense scenes. Considering the problems described, an original method for developing pest detection models was proposed. The first step was to develop a basic model by training it on a small subset of manually labelled samples. In the next step, the basic model identified low/moderate pest-infected rearing boxes from many boxes inspected daily. Pseudo-labelling was carried out for these boxes, significantly reducing labelling time, and re-training was performed. A spatio-temporal masking method based on activity maps calculated using the Gunnar-Farneback optical flow technique was also proposed to reduce the numerous false-positive errors. The quantitative results confirmed the positive effect of pseudo-labelling and spatio-temporal masking on the accuracy of pest detection and the ability to recognise episodes of unacceptable pest infestation.

Paper Citation

in Harvard Style

Majewski P., Lampa P., Burduk R. and Reiner J. (2024). Improved Pest Detection in Insect Larvae Rearing with Pseudo-Labelling and Spatio-Temporal Masking. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 349-356. DOI: 10.5220/0012311300003660

in Bibtex Style

@conference{visapp24,
author={Paweł Majewski and Piotr Lampa and Robert Burduk and Jacek Reiner},
title={Improved Pest Detection in Insect Larvae Rearing with Pseudo-Labelling and Spatio-Temporal Masking},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2024},
pages={349-356},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012311300003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - Improved Pest Detection in Insect Larvae Rearing with Pseudo-Labelling and Spatio-Temporal Masking
SN - 978-989-758-679-8
AU - Majewski P.
AU - Lampa P.
AU - Burduk R.
AU - Reiner J.
PY - 2024
SP - 349
EP - 356
DO - 10.5220/0012311300003660
PB - SciTePress