Applying Deep Learning Approach for Wheat Rust Disease Detection Using MosNet Classification Technique

Inventive Computation and Information Technologies - Lecture Notes in Networks and Systems ◽

10.1007/978-981-33-4305-4_41 ◽

2021 ◽

pp. 551-565

Author(s):

Mosisa Dessalegn Olana ◽

R. Rajesh Sharma ◽

Akey Sungheetha ◽

Yun Koo Chung

Keyword(s):

Deep Learning ◽

Disease Detection ◽

Learning Approach ◽

Rust Disease ◽

Classification Technique ◽

Wheat Rust

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Wheat Rust Disease Detection Using Deep Learning

Data Science and Data Analytics ◽

10.1201/9781003111290-11-14 ◽

2021 ◽

pp. 191-202

Author(s):

Sudhir Kumar Mohapatra ◽

Srinivas Prasad ◽

Sarat Chandra Nayak

Keyword(s):

Deep Learning ◽

Disease Detection ◽

Rust Disease ◽

Wheat Rust

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Hierarchical Deep Learning Approach for Plant Disease Detection

Pattern Recognition and Image Analysis - Lecture Notes in Computer Science ◽

10.1007/978-3-030-31321-0_33 ◽

2019 ◽

pp. 383-393

Author(s):

Joana Costa ◽

Catarina Silva ◽

Bernardete Ribeiro

Keyword(s):

Deep Learning ◽

Plant Disease ◽

Disease Detection ◽

Learning Approach

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Medical image diagnosis for disease detection: A deep learning approach

U-Healthcare Monitoring Systems ◽

10.1016/b978-0-12-815370-3.00003-7 ◽

2019 ◽

pp. 37-60 ◽

Cited By ~ 3

Author(s):

Mrudang D. Pandya ◽

Parth D. Shah ◽

Sunil Jardosh

Keyword(s):

Deep Learning ◽

Medical Image ◽

Disease Detection ◽

Learning Approach ◽

Medical Image Diagnosis ◽

Image Diagnosis

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A Computer Vision System for Guava Disease Detection and Recommend Curative Solution Using Deep Learning Approach

2019 22nd International Conference on Computer and Information Technology (ICCIT) ◽

10.1109/iccit48885.2019.9038598 ◽

2019 ◽

Author(s):

A S M Farhan Al Haque ◽

Rubaiya Hafiz ◽

Md. Azizul Hakim ◽

G. M. Rasiqul Islam

Keyword(s):

Computer Vision ◽

Deep Learning ◽

Vision System ◽

Disease Detection ◽

Learning Approach ◽

Computer Vision System

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Deep Learning Approach to Parkinson’s Disease Detection Using Voice Recordings and Convolutional Neural Network Dedicated to Image Classification

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2019.8856972 ◽

2019 ◽

Cited By ~ 2

Author(s):

Marek Wodzinski ◽

Andrzej Skalski ◽

Daria Hemmerling ◽

Juan Rafael Orozco-Arroyave ◽

Elmar Noth

Keyword(s):

Neural Network ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Deep Learning ◽

Convolutional Neural Network ◽

Image Classification ◽

Disease Detection ◽

Learning Approach

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Early Ginger Disease Detection Using Deep Learning Approach

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering - Advances of Science and Technology ◽

10.1007/978-3-030-93709-6_32 ◽

2022 ◽

pp. 480-488

Author(s):

Mesay Gemeda Yigezu ◽

Michael Melese Woldeyohannis ◽

Atnafu Lambebo Tonja

Keyword(s):

Deep Learning ◽

Disease Detection ◽

Learning Approach

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12 Wheat rust disease identification using deep learning

Internet of Things and Machine Learning in Agriculture ◽

10.1515/9783110691276-012 ◽

2021 ◽

pp. 239-250

Author(s):

Sapna Nigam ◽

Rajni Jain ◽

Sudeep Marwaha ◽

Alka Arora

Keyword(s):

Deep Learning ◽

Rust Disease ◽

Disease Identification ◽

Wheat Rust

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Plant Disease Detection based on Deep Learning Approach

2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) ◽

10.1109/icacite51222.2021.9404647 ◽

2021 ◽

Author(s):

Faizan Akhtar ◽

N. Partheeban ◽

A. Daniel ◽

Srinivasan Sriramulu ◽

Saloni Mehra ◽

...

Keyword(s):

Deep Learning ◽

Plant Disease ◽

Disease Detection ◽

Learning Approach

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Cardiovascular Disease Detection Using MRI Data with Deep Learning Approach

International Journal of Computer and Electrical Engineering ◽

10.17706/ijcee.2020.12.2.72-82 ◽

2020 ◽

Vol 12 (2) ◽

pp. 72-82

Author(s):

Mohammed Zakariah ◽

◽

Khaled AlShalfan

Keyword(s):

Cardiovascular Disease ◽

Deep Learning ◽

Disease Detection ◽

Learning Approach

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A deep learning approach for RGB image-based powdery mildew disease detection on strawberry leaves

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2021.106042 ◽

2021 ◽

Vol 183 ◽

pp. 106042

Author(s):

Jaemyung Shin ◽

Young K. Chang ◽

Brandon Heung ◽

Tri Nguyen-Quang ◽

Gordon W. Price ◽

...

Keyword(s):

Deep Learning ◽

Powdery Mildew ◽

Disease Detection ◽

Learning Approach ◽

Powdery Mildew Disease ◽

Rgb Image

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