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Ukrit Watchareeruetai. Black gram plant nutrient deficiency classification in combined images using convolutional neural network. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2020.
Black gram plant nutrient deficiency classification in combined images using convolutional neural network
Name: Myo Han, Kadipa Aung
Organization :
King Mongkuts Institute of Technology Ladkrabang. Faculty of Engineering
Email :
61610023@kmitl.ac.th
Name: Ukrit Watchareeruetai
Organization :
King Mongkuts Institute of Technology Ladkrabang. Faculty of Engineering
Email :
yukrit.wa@kmitl.ac.th
keyword:
Crop deficiency diseases
Abstract:
Plant nutrient deficiency classification is vital for
the agricultural industry to improve both the qualities and
the quantities of crops. Computer vision and deep learning
technologies, especially convolutional neural networks, perform
an essential role in agricultural and biological sectors to solve
the various kinds of complex problems. In this paper, we
conducted the classification of the complete nutrient and six
types of nutrient deficiency of black gram over the combined
images of old leaf and young leaf. We found that the combined
image supports more useful information than a single image.
We accomplished the feature extraction process by taking the
advantages of the deep pre-trained model to extract the features
from the image automatically. Extracted features from ResNet50
deep pre-trained model are fed into three different classifiers
as the input: (1) logistic regression, (2) support vector machine
and (3) multilayer perceptron and compared the performance
of these models. The multilayer perceptron models achieved
superior performance than support vector machine and logistic
regression by the accuracy of 88.33 %.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2020
Modified:
2026-01-16
Issued:
2026-01-16
บทความ/Article
application/pdf
BibliograpyCitation :
In Electrical Engineering Academic Association (Thailand). 2020 8th International Electrical Engineering Congress (iEECON 2020) (pp.354-357). Red Hook, NY : Institute of Electrical and Electronics Engineers
eng
©copyrights King Mongkut's University of Technology North Bangkok
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0.024388 วินาที
Myo Han, Kadipa Aung
| Title | Contributor | Type |
|---|---|---|
| Black gram plant nutrient deficiency classification in combined images using convolutional neural network
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Myo Han, Kadipa Aung;Ukrit Watchareeruetai | บทความ/Article |
Ukrit Watchareeruetai
| Title | Contributor | Type |
|---|---|---|
| Black gram plant nutrient deficiency classification in combined images using convolutional neural network
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Myo Han, Kadipa Aung;Ukrit Watchareeruetai | บทความ/Article |