A Powerful Plant Disease Classification based on Ensemble Learning

Noura Ouled Sihamman, Assia Ennouni, My Abdelouahed Sabri, Abdellah Aarab

2021

Abstract

Intelligence in agriculture is becoming more and more necessary. Several tools have been proposed and used to make farmers' tasks automatic. Plant disease detection is a tough and challenging step, especially for inexperienced farmers. In several countries, the production quality is significantly reduced due to various plant diseases, which has a negative impact on the economic sector. To reduce the impact of these diseases, early plant disease diagnosis is seen as a way to treat them in time. In this context, several solutions using artificial intelligence and image processing have been proposed. In this paper, we propose an Ensemble Learning-based approach for the detection and classification of plant diseases. Thus, we propose to combine the performance of 5 Deep Learning architectures to design a robust system for plant disease classification. Simulation results proved the efficiency of the proposed approach, comparing it first with the results obtained for each different DL architecture and with also other approaches from the literature.

Paper Citation

in Harvard Style

Ouled Sihamman N., Ennouni A., Sabri M. and Aarab A. (2021). A Powerful Plant Disease Classification based on Ensemble Learning. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 321-326. DOI: 10.5220/0010733500003101

in Bibtex Style

@conference{bml21,
author={Noura Ouled Sihamman and Assia Ennouni and My Abdelouahed Sabri and Abdellah Aarab},
title={A Powerful Plant Disease Classification based on Ensemble Learning},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={321-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010733500003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - A Powerful Plant Disease Classification based on Ensemble Learning
SN - 978-989-758-559-3
AU - Ouled Sihamman N.
AU - Ennouni A.
AU - Sabri M.
AU - Aarab A.
PY - 2021
SP - 321
EP - 326
DO - 10.5220/0010733500003101