2022
DOI: 10.1007/978-3-030-85365-5_1
|View full text |Cite
|
Sign up to set email alerts
|

Deep Learning Based Classification System for Recognizing Local Spinach

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
4
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
2
1

Relationship

0
5

Authors

Journals

citations
Cited by 9 publications
(4 citation statements)
references
References 9 publications
0
4
0
Order By: Relevance
“…In the paper [ 9 ], Irawati et al worked on the four classes of vegetable classification, but the number of images was only 600. In the paper [ [10] , [11] , [12] , 15 ], the authors researched the spinach classification, which is almost related to the vegetable classification. Among these papers, Islam et al [ 11 ] worked on five classes of spinach and achieved the highest accuracy of 99.79 %.…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In the paper [ 9 ], Irawati et al worked on the four classes of vegetable classification, but the number of images was only 600. In the paper [ [10] , [11] , [12] , 15 ], the authors researched the spinach classification, which is almost related to the vegetable classification. Among these papers, Islam et al [ 11 ] worked on five classes of spinach and achieved the highest accuracy of 99.79 %.…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…In the paper [ [10] , [11] , [12] , 15 ], the authors researched the spinach classification, which is almost related to the vegetable classification. Among these papers, Islam et al [ 11 ] worked on five classes of spinach and achieved the highest accuracy of 99.79 %. But, in our research, we built our dataset with 10 classes of Bangladeshi seasonal vegetables, and a total of 4500 images were included.…”
Section: Experimental Design Materials and Methodsmentioning
confidence: 99%
“…The nutritional profile of S. oleracea is considerably diverse compared to other commonly consumed leafy greens like broccoli, cabbage, and lettuce . And even though these plants with their conventional names based on spinach have not been thoroughly analyzed on a combined platform, studies have shown that S. oleracea has a superior nutritional profile and DPPH radical scavenging activity, and the phenolic content of the plant appears to be the major contributor to this antioxidant effect. Islam and co-workers applied Convolutional Neural Network models for the classification of spinach based on leaf images . Though similar to morphological segregation, the leaf petiole was not accounted for, and they completely ignored the two fundamental species, S. oleracea and BV.…”
Section: Introductionmentioning
confidence: 99%
“…33−35 Islam and co-workers applied Convolutional Neural Network models for the classification of spinach based on leaf images. 36 Though similar to morphological segregation, the leaf petiole was not accounted for, and they completely ignored the two fundamental species, S. oleracea and BV. S. oleracea is a widely consumed green leafy vegetable for nutraceutical purposes due to the versatility of its bioactive compounds.…”
Section: Introductionmentioning
confidence: 99%