Towards Automatic Detection and Quantification of Mildew on Grape Leaf Disks

Razib Iqbal, Kyle Sargent, Laszlo Kovacs

2021

Abstract

Downy and powdery mildews are the most serious diseases of the grapevine. A sustainable way to control these pathogens is the breeding and deployment of resistant grape cultivars. For breeding efforts to be effective, accurate quantification of the resistance phenotype is essential. In this paper, we present a computer-based image recognition, processing, and analysis technique for enhancing the detection and quantification of Plasmopara viticola and Erysiphe necator the causal agents of downy and powdery mildew, respectively. We propose a multi-step approach that utilizes background removal and Hue-Saturation-Value (HSV) masking as opposed to multi-faceted color channel breakdowns, photo texture evaluations, or classification-based algorithms for the detection of mildew. Our experimental results show that our method provides reliable results and fast performance.

Paper Citation

in Harvard Style

Iqbal R., Sargent K. and Kovacs L. (2021). Towards Automatic Detection and Quantification of Mildew on Grape Leaf Disks. In Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, ISBN 978-989-758-525-8, pages 81-86. DOI: 10.5220/0010583900810086

in Bibtex Style

@conference{sigmap21,
author={Razib Iqbal and Kyle Sargent and Laszlo Kovacs},
title={Towards Automatic Detection and Quantification of Mildew on Grape Leaf Disks},
booktitle={Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP,},
year={2021},
pages={81-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010583900810086},
isbn={978-989-758-525-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP,
TI - Towards Automatic Detection and Quantification of Mildew on Grape Leaf Disks
SN - 978-989-758-525-8
AU - Iqbal R.
AU - Sargent K.
AU - Kovacs L.
PY - 2021
SP - 81
EP - 86
DO - 10.5220/0010583900810086