An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images

Soma Ghosh, Renu Rameshan, Dileep D.

Abstract

In this work, an empirical study is conducted on classification models built using RGB images of potato leaves. A series of experiments are done by training convolutional neural network (CNN) and support vector machine (SVM) using images captured in laboratory and field conditions and processed samples of images captured in field. A salient region based segmentation algorithm is devised to generate processed version of the images captured in field which performed well with respect to manually segmented ground truth of the dataset. Severe inconsistencies are observed in experimental results, particularly when train and test samples of models are similar images but captured under different environmental conditions. Following the analysis of obtained results, we come up with a set of clear directions to create an image dataset, which can lead to a reliable classification accuracy.

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Paper Citation


in Harvard Style

Ghosh S., Rameshan R. and D. D. (2021). An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images.In Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-486-2, pages 515-522. DOI: 10.5220/0010234805150522


in Bibtex Style

@conference{icpram21,
author={Soma Ghosh and Renu Rameshan and Dileep D.},
title={An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images},
booktitle={Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2021},
pages={515-522},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010234805150522},
isbn={978-989-758-486-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - An Empirical Study on Machine Learning Models for Potato Leaf Disease Classification using RGB Images
SN - 978-989-758-486-2
AU - Ghosh S.
AU - Rameshan R.
AU - D. D.
PY - 2021
SP - 515
EP - 522
DO - 10.5220/0010234805150522