InsectDSOT: A Neural Network for Insect Detection in Olive Trees

Lotfi Souifi, Afef Mdhaffar, Afef Mdhaffar, Ismael Rodriguez, Mohamed Jmaiel, Mohamed Jmaiel, Bernd Freisleben

2023

Abstract

Controlling insect pests in agricultural fields is a major concern. Despite technological developments, most farm management methods and technologies still rely on experts for management and do not yet match the criteria required for precise insect pest control. In this paper, we present a neural network approach for detecting and counting insects. Using the Yolov5n 6.1 version as a baseline model, this paper proposes replacing the Conv layers in the original model’s backbone and neck with the RepVGG layer. We use transfer learning to improve performance by training our proposal on the MS COCO dataset and then use the output model of this training as the input of our new training. Our proposal is validated using the DIRT (Dacus Image Recognition Toolkit) dataset. The obtained results demonstrate that our approach, based on an improved Yolov5, achieves 86.1% of precision. It outperforms four versions of the original yolov5 and yolov5-based versions with modified backbones based on lightweight models.

Paper Citation

in Harvard Style

Souifi L., Mdhaffar A., Rodriguez I., Jmaiel M. and Freisleben B. (2023). InsectDSOT: A Neural Network for Insect Detection in Olive Trees. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-623-1, pages 334-342. DOI: 10.5220/0011789600003393

in Bibtex Style

@conference{icaart23,
author={Lotfi Souifi and Afef Mdhaffar and Ismael Rodriguez and Mohamed Jmaiel and Bernd Freisleben},
title={InsectDSOT: A Neural Network for Insect Detection in Olive Trees},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2023},
pages={334-342},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011789600003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - InsectDSOT: A Neural Network for Insect Detection in Olive Trees
SN - 978-989-758-623-1
AU - Souifi L.
AU - Mdhaffar A.
AU - Rodriguez I.
AU - Jmaiel M.
AU - Freisleben B.
PY - 2023
SP - 334
EP - 342
DO - 10.5220/0011789600003393