Citrus Plant Disease Identification using Deep Learning with Multiple Transfer Learning Approaches
Citrus plant fruits constitute a significant part of Pakistan's agricultural fruits production. A substantial proportion of citrus fruits is destroyed every year because of different diseases. Citrus plants need to be examined manually to identify the disease prevalence. This paper proposed an...
Main Authors: | Talha Anwar, Hassan Anwar |
---|---|
Format: | Article |
Language: | English |
Published: |
The University of Lahore
2020-09-01
|
Series: | Pakistan Journal of Engineering & Technology |
Subjects: | |
Online Access: | http://dev.ojs.com/index.php/pakjet/article/view/439 |
Similar Items
-
Application of Deep Learning in Image Recognition of Citrus Pests
by: Xinyu Jia, et al.
Published: (2023-05-01) -
Automatic Classification Service System for Citrus Pest Recognition Based on Deep Learning
by: Saebom Lee, et al.
Published: (2022-11-01) -
Zero-Shot Transfer Learning Framework for Plant Leaf Disease Classification
by: R. Satya Rajendra Singh, et al.
Published: (2023-01-01) -
Deep Residual Network and Transfer Learning-based Person Re-Identification
by: Arpita Gupta, et al.
Published: (2022-11-01) -
Transferable Deep Learning Model for the Identification of Fish Species for Various Fishing Grounds
by: Tatsuhito Hasegawa, et al.
Published: (2024-02-01)