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 ◽

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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 ◽

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 ◽

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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Development of an artificial cloud lighting condition system using machine vision for strawberry powdery mildew disease detection

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2019.02.007 ◽

2019 ◽

Vol 158 ◽

pp. 219-225 ◽

Author(s):

Md. Sultan Mahmud ◽

Qamar U. Zaman ◽

Travis J. Esau ◽

Gordon W. Price ◽

Balakrishnan Prithiviraj

Keyword(s):

Powdery Mildew ◽

Machine Vision ◽

Disease Detection ◽

Lighting Condition ◽

Powdery Mildew Disease

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Detection of Powdery Mildew Disease of Beans in India : A Review

Oriental journal of computer science and technology ◽

10.13005/ojcst/09.03.08 ◽

2016 ◽

Vol 9 (3) ◽

pp. 226-234

Author(s):

Kuldeep Singh ◽

Satish Kumar ◽

Pawan Kaur

Keyword(s):

Image Processing ◽

Pattern Recognition ◽

Powdery Mildew ◽

Management Strategies ◽

Cost Effective ◽

Detection Methods ◽

Economic Losses ◽

Disease Detection ◽

Spectroscopic Techniques ◽

Powdery Mildew Disease

Powdery mildew disease of beans in India causes major economic losses in agriculture. For sustainable agriculture detection and identification of diseases in plants is very important. In this review, we are trying to identify the powdery mildew disease of beans crop by using some image processing and pattern recognition techniques and comparing with molecular and spectroscopic techniques. Early information on crop health and disease detection can facilitate the control of diseases through proper management strategies. The present review recognizes the need for developing a rapid, cost-effective, and reliable health monitoring techniques that would facilitate advancements in agriculture. These technologies include image processing and pattern recognition based plant disease detection methods

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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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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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Corrigendum to ‘Development of an artificial cloud lighting condition system using machine vision for strawberry powdery mildew disease detection’ [Comput. Electron. Agric. 158 (2019) 219–225]

Computers and Electronics in Agriculture ◽

10.1016/j.compag.2019.03.024 ◽

2019 ◽

Vol 160 ◽

pp. 188

Author(s):

Md. Sultan Mahmud ◽

Young Ki Chang ◽

Qamar U. Zaman ◽

Travis J. Esau ◽

Gordon W. Price ◽

...

Keyword(s):

Powdery Mildew ◽

Machine Vision ◽

Disease Detection ◽

Lighting Condition ◽

Comput Electron ◽

Powdery Mildew Disease

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