	1
Information Fusion	Information Fusion, 1, 11.11% Information Fusion 1 publication, 11.11%
IEEE Access	IEEE Access, 1, 11.11% IEEE Access 1 publication, 11.11%
Smart Agricultural Technology	Smart Agricultural Technology, 1, 11.11% Smart Agricultural Technology 1 publication, 11.11%
	1

Publishers

	1 2 3 4 5 6 7
Institute of Electrical and Electronics Engineers (IEEE)	Institute of Electrical and Electronics Engineers (IEEE), 7, 77.78% Institute of Electrical and Electronics Engineers (IEEE) 7 publications, 77.78%
Elsevier	Elsevier, 2, 22.22% Elsevier 2 publications, 22.22%
	1 2 3 4 5 6 7

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Cite this

GOST |

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GOST Copy

Thomkaew J., Intakosum S. Improvement Classification Approach in Tomato Leaf Disease using Modified Visual Geometry Group (VGG)-InceptionV3 // International Journal of Advanced Computer Science and Applications. 2022. Vol. 13. No. 12.

GOST all authors (up to 50) Copy

RIS |

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RIS Copy

TY - JOUR

DO - 10.14569/IJACSA.2022.0131244

UR - https://doi.org/10.14569/IJACSA.2022.0131244

TI - Improvement Classification Approach in Tomato Leaf Disease using Modified Visual Geometry Group (VGG)-InceptionV3

T2 - International Journal of Advanced Computer Science and Applications

AU - Thomkaew, J

AU - Intakosum, S

PY - 2022

DA - 2022/12/31

PB - Science and Information Organization

IS - 12

VL - 13

SN - 2158-107X

SN - 2156-5570

ER -

BibTex

Cite this

BibTex (up to 50 authors) Copy

@article{2022_Thomkaew,

author = {J Thomkaew and S Intakosum},

title = {Improvement Classification Approach in Tomato Leaf Disease using Modified Visual Geometry Group (VGG)-InceptionV3},

journal = {International Journal of Advanced Computer Science and Applications},

year = {2022},

volume = {13},

publisher = {Science and Information Organization},

month = {dec},

url = {https://doi.org/10.14569/IJACSA.2022.0131244},

number = {12},

doi = {10.14569/IJACSA.2022.0131244}

}

Publisher

Science and Information Organization

Journal

International Journal of Advanced Computer Science and Applications

scimago Q3

wos Q3

SJR

0.285

CiteScore

2.7

Impact factor

0.9

ISSN

2158107X (Print)

21565570 (Electronic)