DrBerry: Detection of Diseases in Blueberry Bush Leaves

Cristopher Morales, Edgar Cavero, Willy Ugarte

2023

Abstract

The following research presents a mobile application that can recognize the following plages usually found on blueberry leaves: oidium, heliothis and alternaria. These diseases affects the growth of the bush an thus reduce its yield. Additionally, an open dataset will be available for future investigations. Yolov5, a convolutional neural network, is used for the development of the model, data collection was performed in the Fundo San Roberto, Huaral-Peru, and data augmentation techniques were used to increment the amount of workable data. Thanks to this the following results were obtained: accuracy of 84% and recall of 91%. We predict that the model could be improved to recognize other plages given the right amount of data.

Paper Citation

in Harvard Style

Morales C., Cavero E. and Ugarte W. (2023). DrBerry: Detection of Diseases in Blueberry Bush Leaves. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN 978-989-758-671-2, SciTePress, pages 355-364. DOI: 10.5220/0012207100003598

in Bibtex Style

@conference{kdir23,
author={Cristopher Morales and Edgar Cavero and Willy Ugarte},
title={DrBerry: Detection of Diseases in Blueberry Bush Leaves},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2023},
pages={355-364},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012207100003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - DrBerry: Detection of Diseases in Blueberry Bush Leaves
SN - 978-989-758-671-2
AU - Morales C.
AU - Cavero E.
AU - Ugarte W.
PY - 2023
SP - 355
EP - 364
DO - 10.5220/0012207100003598
PB - SciTePress