Discriminant Feature Extraction using Disease Segmentation for Automatic Leaf Disease Diagnosis-Reference-Cited by-同舟云学术

Discriminant Feature Extraction using Disease Segmentation for Automatic Leaf Disease Diagnosis

Published:2020-01-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Computing Advancements
language:
Short-container-title:

Author:

Kabir Raihan¹,Jahan Salman¹,Islam Md Rashedul²,Rahman Nabila¹,Islam Md Rajibul¹

Affiliation:

1. Department of Computer Science and Engineering, University of Asia pacific, Dhaka, Bangladesh

2. School of Computer Science and Engineering, The University of Aizu, Fukushima, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3377049.3377100

Reference15 articles.

1. Role of Agriculture in Economic Growth of Bangladesh: A VAR Approach;Rahman Z.;Journal of Business Studies,2014

2. Identification of leaf diseases in pepper plants using soft computing techniques

3. Comparison of Digital Image Segmentation Techniques- A Research Review;Tokas N.;International Journal of Computer Science and Mobile Computing,2016

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A pest detection system for leaves through radial bi-symmetric divergence RCNN based segmentation approach;Multimedia Tools and Applications;2024-02-29

2. An Efficient Technique for Recognizing Tomato Leaf Disease Based on the Most Effective Deep CNN Hyperparameters;Annals of Emerging Technologies in Computing;2023-01-01

3. Unknown Object Detection Using a One-Class Support Vector Machine for a Cloud–Robot System;Sensors;2022-02-10

4. An Efficient Cloud Framework for Multi-Robot System Management;Frontiers in Artificial Intelligence and Applications;2021-09-08

5. A Cloud-Based Robot Framework for Indoor Object Identification Using Unsupervised Segmentation Technique and Convolution Neural Network (CNN);Lecture Notes in Computer Science;2021