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Manoch Pracha. Paddy seed variety classification using transfer learning based on deep learning. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Paddy seed variety classification using transfer learning based on deep learning
Name: Deachrut Jaithavil
Organization :
Rajamangala University of Technology Thanyaburi. Faculty of Engineering
Email :
deachrut.j@en.rmutt.ac.th
Name: Sirichai Triamlumlerd
Organization :
Rajamangala University of Technology Thanyaburi. Faculty of Engineering
Email :
sirichai.t@en.rmutt.ac.th
Name: Manoch Pracha
Organization :
Rajamangala University of Technology Thanyaburi. Faculty of Engineering
Email :
manoch.p@en.rmutt.ac.th
keyword:
Image classification
LCSH:
Agriculture
-- Data processing
Abstract:
Classification of paddy seed varieties is a criticaltask that determines the price and quality of rice in the market. Deep learning methods that have been successfully applied in different areas are not even in image classification. In this paper, we proposed a classification of paddy seed varieties by using transfer learning of deep learning with three pre-trained weights: VGG16, InceptionV3, and MobileNetV2. Over 1200 images of paddy seed are collected for custom datasets. The experimental result shows the overall accuracy of VGG16, InceptionV3, and MobileNetV2 are 80.00%, 83.33%, and 83.33% respectively. Test Loss of each model is 52.15%, 28.41%, and 61.95% sequentially. Therefore, InceptionV3 not only gives the best accuracy than others but also the least test loss. This proposed research can be a great advantage for a farmer to identify paddy varieties that aimed to reduce the adulteration of paddy varieties as well.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2025-08-21
Issued:
2025-08-21
บทความ/Article
application/pdf
BibliograpyCitation :
In Electrical Engineering Academic Association (Thailand) and Rajamangala University of Technology Isan Khon Kaen Campus. Faculty of Engineering. The 2022 International Electrical Engineering Congress (iEECON 2022) (P01632). Khon Kaen : Rajamangala University of Technology Isan, 2022
eng
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0.04045 วินาที
Deachrut Jaithavil
| Title | Contributor | Type |
|---|---|---|
| Paddy seed variety classification using transfer learning based on deep learning
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Deachrut Jaithavil;Sirichai Triamlumlerd;Manoch Pracha | บทความ/Article |
Sirichai Triamlumlerd
| Title | Contributor | Type |
|---|---|---|
| Program Design Tutoring System
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าธนบุรี Sirichai Triamlumlerd;ศิริชัย เตรียมล้ำเลิศ | Nuttanart Facundes ณัฐนาถ ฟาคุนเด๊ซ | วิทยานิพนธ์/Thesis |
| Paddy seed variety classification using transfer learning based on deep learning
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Deachrut Jaithavil;Sirichai Triamlumlerd;Manoch Pracha | บทความ/Article |
Manoch Pracha
| Title | Contributor | Type |
|---|---|---|
| Paddy seed variety classification using transfer learning based on deep learning
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Deachrut Jaithavil;Sirichai Triamlumlerd;Manoch Pracha | บทความ/Article |