EfficientNet based Convolutional Neural Network for Visual Plant Disease Detection

Denesh Kumar; Mohamad Khairi Ishak; Mohd Ikmal Fitri Maruzuki

doi:10.1109/ECTI-CON54298.2022.9795496

EfficientNet based Convolutional Neural Network for Visual Plant Disease Detection

Denesh Kumar
, Mohamad Khairi Ishak
, Mohd Ikmal Fitri Maruzuki

Universiti Sains Malaysia
Universiti Teknologi MARA

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Crops grown in tropical, subtropical, and temperate climates are subject to a variety of diseases and pests. Plant illnesses are complicated by interactions between the virus, the host plant, and the insect. In this paper, we present a robust transfer-learning-based detector for real-time plant disease detection with PlantDoc datasets and plant village dataset. EfficientNetV2 architecture is more efficient, high speed and accurate in compared with EfficientNetV1. The EfficientNetV2 with the pretrained weights, Image net and plant village obtain the highest score in accuracy with 74%,F1-score=0.74 if compared to other benchmarked models.

Original language	English
Title of host publication	19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665485845
DOIs	https://doi.org/10.1109/ECTI-CON54298.2022.9795496
State	Published - 2022
Externally published	Yes
Event	19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022 - Prachuap Khiri Khan, Thailand Duration: 24 May 2022 → 27 May 2022

Publication series

Name	19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022

Conference

Conference	19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022
Country/Territory	Thailand
City	Prachuap Khiri Khan
Period	24/05/22 → 27/05/22

Keywords

Convolutional Neural Network
EfficientNet
PlantDoc

Access to Document

10.1109/ECTI-CON54298.2022.9795496

Cite this

Kumar, D., Ishak, M. K., & Maruzuki, M. I. F. (2022). EfficientNet based Convolutional Neural Network for Visual Plant Disease Detection. In 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022 (19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECTI-CON54298.2022.9795496

Kumar, Denesh ; Ishak, Mohamad Khairi ; Maruzuki, Mohd Ikmal Fitri. / EfficientNet based Convolutional Neural Network for Visual Plant Disease Detection. 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022).

@inproceedings{c120cd498250439a9cedd7054c964f3e,

title = "EfficientNet based Convolutional Neural Network for Visual Plant Disease Detection",

abstract = "Crops grown in tropical, subtropical, and temperate climates are subject to a variety of diseases and pests. Plant illnesses are complicated by interactions between the virus, the host plant, and the insect. In this paper, we present a robust transfer-learning-based detector for real-time plant disease detection with PlantDoc datasets and plant village dataset. EfficientNetV2 architecture is more efficient, high speed and accurate in compared with EfficientNetV1. The EfficientNetV2 with the pretrained weights, Image net and plant village obtain the highest score in accuracy with 74\%,F1-score=0.74 if compared to other benchmarked models.",

keywords = "Convolutional Neural Network, EfficientNet, PlantDoc",

author = "Denesh Kumar and Ishak, \{Mohamad Khairi\} and Maruzuki, \{Mohd Ikmal Fitri\}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022 ; Conference date: 24-05-2022 Through 27-05-2022",

year = "2022",

doi = "10.1109/ECTI-CON54298.2022.9795496",

language = "English",

series = "19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022",

address = "United States",

}

Kumar, D, Ishak, MK & Maruzuki, MIF 2022, EfficientNet based Convolutional Neural Network for Visual Plant Disease Detection. in 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022. 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022, Institute of Electrical and Electronics Engineers Inc., 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022, Prachuap Khiri Khan, Thailand, 24/05/22. https://doi.org/10.1109/ECTI-CON54298.2022.9795496

EfficientNet based Convolutional Neural Network for Visual Plant Disease Detection. / Kumar, Denesh; Ishak, Mohamad Khairi; Maruzuki, Mohd Ikmal Fitri.
19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - EfficientNet based Convolutional Neural Network for Visual Plant Disease Detection

AU - Kumar, Denesh

AU - Ishak, Mohamad Khairi

AU - Maruzuki, Mohd Ikmal Fitri

PY - 2022

Y1 - 2022

N2 - Crops grown in tropical, subtropical, and temperate climates are subject to a variety of diseases and pests. Plant illnesses are complicated by interactions between the virus, the host plant, and the insect. In this paper, we present a robust transfer-learning-based detector for real-time plant disease detection with PlantDoc datasets and plant village dataset. EfficientNetV2 architecture is more efficient, high speed and accurate in compared with EfficientNetV1. The EfficientNetV2 with the pretrained weights, Image net and plant village obtain the highest score in accuracy with 74%,F1-score=0.74 if compared to other benchmarked models.

AB - Crops grown in tropical, subtropical, and temperate climates are subject to a variety of diseases and pests. Plant illnesses are complicated by interactions between the virus, the host plant, and the insect. In this paper, we present a robust transfer-learning-based detector for real-time plant disease detection with PlantDoc datasets and plant village dataset. EfficientNetV2 architecture is more efficient, high speed and accurate in compared with EfficientNetV1. The EfficientNetV2 with the pretrained weights, Image net and plant village obtain the highest score in accuracy with 74%,F1-score=0.74 if compared to other benchmarked models.

KW - Convolutional Neural Network

KW - EfficientNet

KW - PlantDoc

UR - https://www.scopus.com/pages/publications/85133381132

U2 - 10.1109/ECTI-CON54298.2022.9795496

DO - 10.1109/ECTI-CON54298.2022.9795496

M3 - Conference contribution

AN - SCOPUS:85133381132

T3 - 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022

BT - 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022

Y2 - 24 May 2022 through 27 May 2022

ER -

Kumar D, Ishak MK, Maruzuki MIF. EfficientNet based Convolutional Neural Network for Visual Plant Disease Detection. In 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2022). doi: 10.1109/ECTI-CON54298.2022.9795496

EfficientNet based Convolutional Neural Network for Visual Plant Disease Detection

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Keywords

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