This is a compilation of research papers using Deep Learning on Plant disease Classification released from 2019 .
\nRICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK
\nPdf : https://d-nb.info/1191898725/34
Depthwise separable convolution architectures for plant disease classification
\nhttps://www.sciencedirect.com/science/article/abs/pii/S0168169918318696
\nArivx Link : https://arxiv.org/abs/1610.02357v3(Xception: Deep Learning with Depthwise Separable Convolutions)
\nPapers with Code : https://paperswithcode.com/method/depthwise-separable-convolution (Code snippet available)
A comparative study of fine-tuning deep learning models for plant disease identification
\nhttps://www.sciencedirect.com/science/article/abs/pii/S0168169917313303
\nPdf File : http://download.eline.ba/downloads/PowerUpdate/too2018.pdf
\nRelated Paper : ToLeD: Tomato Leaf Disease Detection using Convolution Neural\nNetwork
Plant disease identification using explainable 3D deep learning on hyperspectral images
\nOpen Access to Pdf : https://plantmethods.biomedcentral.com/articles/10.1186/s13007-019-0479-8
Few-Shot Learning approach for plant disease classification using images taken in the field
\nhttps://www.sciencedirect.com/science/article/abs/pii/S0168169920302544
\nRelated Paper : Plant Leaves Classification: A Few-Shot Learning\nMethod Based on Siamese Network (pdf)
Plant Disease Detection and Classification by Deep Learning
\nPdf : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918394/pdf/plants-08-00468.pdf
Plant disease identification from individual lesions and spots using deep learning
\nRequires Access : https://www.sciencedirect.com/science/article/abs/pii/S1537511018307797
\nRelated Paper : Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic\nStress [Pdf can be accessed)
Development and Validation of a Deep Learning Algorithm for the Recognition of Plant Disease
\nRequires Access : https://ieeexplore.ieee.org/abstract/document/8855497
Hope you found it useful . If you find any interesting research papers outside this , do mention it in the comment , so I can include it in the post
", "messages": [ { "id": "1092450", "postDate": "11/26/2020 20:34:15", "content": "This is a compilation of research papers using Deep Learning on Plant disease Classification released from 2019 .
\nRICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK
\nPdf : https://d-nb.info/1191898725/34
Depthwise separable convolution architectures for plant disease classification
\nhttps://www.sciencedirect.com/science/article/abs/pii/S0168169918318696
\nArivx Link : https://arxiv.org/abs/1610.02357v3(Xception: Deep Learning with Depthwise Separable Convolutions)
\nPapers with Code : https://paperswithcode.com/method/depthwise-separable-convolution (Code snippet available)
A comparative study of fine-tuning deep learning models for plant disease identification
\nhttps://www.sciencedirect.com/science/article/abs/pii/S0168169917313303
\nPdf File : http://download.eline.ba/downloads/PowerUpdate/too2018.pdf
\nRelated Paper : ToLeD: Tomato Leaf Disease Detection using Convolution Neural\nNetwork
Plant disease identification using explainable 3D deep learning on hyperspectral images
\nOpen Access to Pdf : https://plantmethods.biomedcentral.com/articles/10.1186/s13007-019-0479-8
Few-Shot Learning approach for plant disease classification using images taken in the field
\nhttps://www.sciencedirect.com/science/article/abs/pii/S0168169920302544
\nRelated Paper : Plant Leaves Classification: A Few-Shot Learning\nMethod Based on Siamese Network (pdf)
Plant Disease Detection and Classification by Deep Learning
\nPdf : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918394/pdf/plants-08-00468.pdf
Plant disease identification from individual lesions and spots using deep learning
\nRequires Access : https://www.sciencedirect.com/science/article/abs/pii/S1537511018307797
\nRelated Paper : Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic\nStress [Pdf can be accessed)
Development and Validation of a Deep Learning Algorithm for the Recognition of Plant Disease
\nRequires Access : https://ieeexplore.ieee.org/abstract/document/8855497
Hope you found it useful . If you find any interesting research papers outside this , do mention it in the comment , so I can include it in the post
", "rawMarkdown": "This is a compilation of research papers using Deep Learning on Plant disease Classification released from 2019 .\n\n**RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK**\n**Pdf :** https://d-nb.info/1191898725/34\n\n\n\n**Depthwise separable convolution architectures for plant disease classification**\nhttps://www.sciencedirect.com/science/article/abs/pii/S0168169918318696\n**Arivx Link :** https://arxiv.org/abs/1610.02357v3(Xception: Deep Learning with Depthwise Separable Convolutions)\n**Papers with Code :** https://paperswithcode.com/method/depthwise-separable-convolution (Code snippet available)\n\n**A comparative study of fine-tuning deep learning models for plant disease identification**\nhttps://www.sciencedirect.com/science/article/abs/pii/S0168169917313303\n**Pdf File :** http://download.eline.ba/downloads/PowerUpdate/too2018.pdf\n**Related Paper :** [ToLeD: Tomato Leaf Disease Detection using Convolution Neural\nNetwork ](https://pdf.sciencedirectassets.com/280203/1-s2.0-S1877050920X00056/1-s2.0-S1877050920306906/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEJ7%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIHMeVO0DEW5Gmczc5WaNY2lOmeAnfEYDTOw9sNO0bAl0AiEA9CnFJmYGSoBD2smS8xaq0ylC0NFiyDL13Bb3uaUWedMqtAMIJxADGgwwNTkwMDM1NDY4NjUiDH4izhSIxZ7NP12IOyqRAyZ52BkWMV6bSESmvUX4cwMAxvS%2FIH9ED4XlXgfBgTBmOiS65s4DlB7zcmG6szEjFtLqDlavqvxkrIdHA6IoMoNYGSTSESHJtrqxh%2B6h37jGTphR2TuprLKS43bKIg8s6Okb8PziTsAbTAHzFlt4zuCRKmPUMPbzC7iKalEZJrz47OaxoyT2dET7A9B0tIF8OSzNsKkxVDmlljffTqTVowp4HEtnbwDkH67%2B9c7oihvzlJ7Xk1%2BL3vwaFvJyI8uYdTjKVUMhQBboCbDYYyrGRtMcvx8bO0KK3Bcr6phzAYcnq8FMuU3GYik8m3CkdTcZDlZuxgX%2FS7ibw64JZ%2BZe2mhfGN%2BhamZiSyKbsMN1%2Fk48vohUY8W5nMytuNh0cu8In2F5XtM4CMxUQaR0Bj5v2Q86nE0akGM13G019t97oAsKi8SkMD5obKN%2Bfsg0bNDZE%2BiUCS6P%2F2VN9ianE%2FHC0M%2Bc2uA83zR6WS4GPl1I7lMlqRln0gGqlzXBM6SIuPaF%2BW2p%2BdTMV%2FKZj%2FTRZDc0XI9cMMWcgv4FOusBViF6%2BXLMhYCY02s7dpDGzwW43Dd6fBphWszXtH0gyjbEr2NbKdCAt4Y0hsaH9lZ4iFkpIPao%2F1cY%2BvaZEl8xZATwXtOQ4WKI4gYdGU%2BIdSuRnGxdVikHW75o1PYFay8%2BF74VGbyjluqM%2BYfOJt0SLrhBGvuFProgUVX5VX8lgsEgF78FVNCiqTkhvohAp%2F0f%2BHhlDdJM9zZHBACYdxf7gYq83RsINqzqvxlK2BGOT%2FEYEKRzH4SYwWgAepYVGdh3B%2BqFizNapHB1I6OyqlKsTbhQeRmTKdS%2B3fXyz%2F9zMhS6R%2BJElhrHcpJSsQ%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20201127T063839Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY3SGCTRUK%2F20201127%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=0611ecf9916f803495781634c81fdc2169e4d19cb1e26f5fbab481f61562e9bb&hash=acbe0421396dd7cfb593a6d6c8f38a246ad6209a18b3250e35026eb1c5b0f5ad&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S1877050920306906&tid=spdf-6c321a18-77d7-4306-b1a6-47bf3bde9b85&sid=ec1f22041a79a74f7d98d5f0e3cb284d1b08gxrqb&type=client)\n\n\n\n**Plant disease identification using explainable 3D deep learning on hyperspectral images**\n**Open Access to Pdf :** https://plantmethods.biomedcentral.com/articles/10.1186/s13007-019-0479-8\n\n**Few-Shot Learning approach for plant disease classification using images taken in the field**\nhttps://www.sciencedirect.com/science/article/abs/pii/S0168169920302544\n**Related Paper :** [Plant Leaves Classification: A Few-Shot Learning\nMethod Based on Siamese Network](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8869770) (pdf)\n\n\n\n\n\n**Plant Disease Detection and Classification by Deep Learning**\n**Pdf :** https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918394/pdf/plants-08-00468.pdf\n\n**Plant disease identification from individual lesions and spots using deep learning**\n**Requires Access :** https://www.sciencedirect.com/science/article/abs/pii/S1537511018307797\n**Related Paper :** [Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic\nStress](https://arxiv.org/pdf/1907.11561.pdf) [Pdf can be accessed)\n\n\n\n**Development and Validation of a Deep Learning Algorithm for the Recognition of Plant Disease**\n**Requires Access :** https://ieeexplore.ieee.org/abstract/document/8855497\n\nHope you found it useful . If you find any interesting research papers outside this , do mention it in the comment , so I can include it in the post", "votes": null }, { "id": "1092641", "postDate": "11/27/2020 04:17:30", "content": "Thank you very much for compiling the papers. I'm interested in them. 😊
", "rawMarkdown": "Thank you very much for compiling the papers. I'm interested in them. 😊", "votes": null }, { "id": "1092644", "postDate": "11/27/2020 04:20:38", "content": "@hiroshisakiyama Glad you are finding it useful Professor Hiroshi ..
", "rawMarkdown": "hiroshisakiyama Glad you are finding it useful Professor Hiroshi ..", "votes": null }, { "id": "1092731", "postDate": "11/27/2020 05:52:10", "content": "I've downloaded most of the papers. Please just call me Hiroshi. 😊
", "rawMarkdown": "I've downloaded most of the papers. Please just call me Hiroshi. 😊", "votes": null }, { "id": "1092733", "postDate": "11/27/2020 05:57:20", "content": "@hiroshisakiyama Can you share the links to papers in a google drive link , so I can update the post ..It will help others saving time to download it again
", "rawMarkdown": "hiroshisakiyama Can you share the links to papers in a google drive link , so I can update the post ..It will help others saving time to download it again", "votes": null }, { "id": "1092760", "postDate": "11/27/2020 06:29:48", "content": "Unfortunately, I can't. Sorry. I think it's prohibited by the publishers. In addition, I don't know how to do it. I'm really sorry. 😴 The first and the 7th seem to be open access.
", "rawMarkdown": "Unfortunately, I can't. Sorry. I think it's prohibited by the publishers. In addition, I don't know how to do it. I'm really sorry. 😴 The first and the 7th seem to be open access.", "votes": null }, { "id": "1092800", "postDate": "11/27/2020 07:17:28", "content": "The paper titled \"Plant disease identification using explainable 3D deep learning on hyperspectral images\" in the list is open access, and it was impressive to me. They used reflectance spectra also (Fig. 3). I felt the light at around 680 nm was useful for detecting disease. Please have a look. 😊
", "rawMarkdown": "The paper titled \"Plant disease identification using explainable 3D deep learning on hyperspectral images\" in the list is open access, and it was impressive to me. They used reflectance spectra also (Fig. 3). I felt the light at around 680 nm was useful for detecting disease. Please have a look. 😊", "votes": null }, { "id": "1092806", "postDate": "11/27/2020 07:24:47", "content": "@hiroshisakiyama I have added related papers with open access for those with restricted access ..
", "rawMarkdown": "hiroshisakiyama I have added related papers with open access for those with restricted access ..", "votes": null }, { "id": "1092807", "postDate": "11/27/2020 07:25:56", "content": "@hiroshisakiyama Thank you so much for sharing this Hiroshi . Will definitely have a look and share my thoughts
", "rawMarkdown": "hiroshisakiyama Thank you so much for sharing this Hiroshi . Will definitely have a look and share my thoughts", "votes": null }, { "id": "1092839", "postDate": "11/27/2020 07:52:32", "content": "That's great! 😊
", "rawMarkdown": "That's great! 😊", "votes": null }, { "id": "1102663", "postDate": "12/05/2020 06:53:22", "content": "Thanks, so helpful!
\nFirst paper is funny enough: \"This is the first time when such a
\nlarge rice disease dataset has been collected\" and this dataset contains only 619 pictures :)
i will be work on it. thanks for sharing dataset.
", "rawMarkdown": "i will be work on it. thanks for sharing dataset.", "votes": null }, { "id": "3043732", "postDate": "11/12/2024 16:09:23", "content": "Really helpful
", "rawMarkdown": "Really helpful", "votes": null } ], "comments": [ { "id": 1092641, "author_name": "hiroshisakiyama", "author_url": "", "post_date": "11/27/2020 04:17:30", "content": "Thank you very much for compiling the papers. I'm interested in them. 😊
", "votes": null, "replies": [ { "id": 1092644, "author_name": "usharengaraju", "author_url": "", "post_date": "11/27/2020 04:20:38", "content": "@hiroshisakiyama Glad you are finding it useful Professor Hiroshi ..
", "votes": null, "replies": [] }, { "id": 1092731, "author_name": "hiroshisakiyama", "author_url": "", "post_date": "11/27/2020 05:52:10", "content": "I've downloaded most of the papers. Please just call me Hiroshi. 😊
", "votes": null, "replies": [] }, { "id": 1092733, "author_name": "usharengaraju", "author_url": "", "post_date": "11/27/2020 05:57:20", "content": "@hiroshisakiyama Can you share the links to papers in a google drive link , so I can update the post ..It will help others saving time to download it again
", "votes": null, "replies": [] }, { "id": 1092760, "author_name": "hiroshisakiyama", "author_url": "", "post_date": "11/27/2020 06:29:48", "content": "Unfortunately, I can't. Sorry. I think it's prohibited by the publishers. In addition, I don't know how to do it. I'm really sorry. 😴 The first and the 7th seem to be open access.
", "votes": null, "replies": [] }, { "id": 1092806, "author_name": "usharengaraju", "author_url": "", "post_date": "11/27/2020 07:24:47", "content": "@hiroshisakiyama I have added related papers with open access for those with restricted access ..
", "votes": null, "replies": [] }, { "id": 1092839, "author_name": "hiroshisakiyama", "author_url": "", "post_date": "11/27/2020 07:52:32", "content": "That's great! 😊
", "votes": null, "replies": [] } ] }, { "id": 1092800, "author_name": "hiroshisakiyama", "author_url": "", "post_date": "11/27/2020 07:17:28", "content": "The paper titled \"Plant disease identification using explainable 3D deep learning on hyperspectral images\" in the list is open access, and it was impressive to me. They used reflectance spectra also (Fig. 3). I felt the light at around 680 nm was useful for detecting disease. Please have a look. 😊
", "votes": null, "replies": [ { "id": 1092807, "author_name": "usharengaraju", "author_url": "", "post_date": "11/27/2020 07:25:56", "content": "@hiroshisakiyama Thank you so much for sharing this Hiroshi . Will definitely have a look and share my thoughts
", "votes": null, "replies": [] } ] }, { "id": 1102663, "author_name": "koza4ukdmitrij", "author_url": "", "post_date": "12/05/2020 06:53:22", "content": "Thanks, so helpful!
\nFirst paper is funny enough: \"This is the first time when such a
\nlarge rice disease dataset has been collected\" and this dataset contains only 619 pictures :)
i will be work on it. thanks for sharing dataset.
", "votes": null, "replies": [] }, { "id": 3043732, "author_name": "jg7demon", "author_url": "", "post_date": "11/12/2024 16:09:23", "content": "Really helpful
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1092450": "This is a compilation of research papers using Deep Learning on Plant disease Classification released from 2019 .\n\n**RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK**\n**Pdf :** https://d-nb.info/1191898725/34\n\n\n\n**Depthwise separable convolution architectures for plant disease classification**\nhttps://www.sciencedirect.com/science/article/abs/pii/S0168169918318696\n**Arivx Link :** https://arxiv.org/abs/1610.02357v3(Xception: Deep Learning with Depthwise Separable Convolutions)\n**Papers with Code :** https://paperswithcode.com/method/depthwise-separable-convolution (Code snippet available)\n\n**A comparative study of fine-tuning deep learning models for plant disease identification**\nhttps://www.sciencedirect.com/science/article/abs/pii/S0168169917313303\n**Pdf File :** http://download.eline.ba/downloads/PowerUpdate/too2018.pdf\n**Related Paper :** [ToLeD: Tomato Leaf Disease Detection using Convolution Neural\nNetwork ](https://pdf.sciencedirectassets.com/280203/1-s2.0-S1877050920X00056/1-s2.0-S1877050920306906/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEJ7%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIHMeVO0DEW5Gmczc5WaNY2lOmeAnfEYDTOw9sNO0bAl0AiEA9CnFJmYGSoBD2smS8xaq0ylC0NFiyDL13Bb3uaUWedMqtAMIJxADGgwwNTkwMDM1NDY4NjUiDH4izhSIxZ7NP12IOyqRAyZ52BkWMV6bSESmvUX4cwMAxvS%2FIH9ED4XlXgfBgTBmOiS65s4DlB7zcmG6szEjFtLqDlavqvxkrIdHA6IoMoNYGSTSESHJtrqxh%2B6h37jGTphR2TuprLKS43bKIg8s6Okb8PziTsAbTAHzFlt4zuCRKmPUMPbzC7iKalEZJrz47OaxoyT2dET7A9B0tIF8OSzNsKkxVDmlljffTqTVowp4HEtnbwDkH67%2B9c7oihvzlJ7Xk1%2BL3vwaFvJyI8uYdTjKVUMhQBboCbDYYyrGRtMcvx8bO0KK3Bcr6phzAYcnq8FMuU3GYik8m3CkdTcZDlZuxgX%2FS7ibw64JZ%2BZe2mhfGN%2BhamZiSyKbsMN1%2Fk48vohUY8W5nMytuNh0cu8In2F5XtM4CMxUQaR0Bj5v2Q86nE0akGM13G019t97oAsKi8SkMD5obKN%2Bfsg0bNDZE%2BiUCS6P%2F2VN9ianE%2FHC0M%2Bc2uA83zR6WS4GPl1I7lMlqRln0gGqlzXBM6SIuPaF%2BW2p%2BdTMV%2FKZj%2FTRZDc0XI9cMMWcgv4FOusBViF6%2BXLMhYCY02s7dpDGzwW43Dd6fBphWszXtH0gyjbEr2NbKdCAt4Y0hsaH9lZ4iFkpIPao%2F1cY%2BvaZEl8xZATwXtOQ4WKI4gYdGU%2BIdSuRnGxdVikHW75o1PYFay8%2BF74VGbyjluqM%2BYfOJt0SLrhBGvuFProgUVX5VX8lgsEgF78FVNCiqTkhvohAp%2F0f%2BHhlDdJM9zZHBACYdxf7gYq83RsINqzqvxlK2BGOT%2FEYEKRzH4SYwWgAepYVGdh3B%2BqFizNapHB1I6OyqlKsTbhQeRmTKdS%2B3fXyz%2F9zMhS6R%2BJElhrHcpJSsQ%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20201127T063839Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY3SGCTRUK%2F20201127%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=0611ecf9916f803495781634c81fdc2169e4d19cb1e26f5fbab481f61562e9bb&hash=acbe0421396dd7cfb593a6d6c8f38a246ad6209a18b3250e35026eb1c5b0f5ad&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S1877050920306906&tid=spdf-6c321a18-77d7-4306-b1a6-47bf3bde9b85&sid=ec1f22041a79a74f7d98d5f0e3cb284d1b08gxrqb&type=client)\n\n\n\n**Plant disease identification using explainable 3D deep learning on hyperspectral images**\n**Open Access to Pdf :** https://plantmethods.biomedcentral.com/articles/10.1186/s13007-019-0479-8\n\n**Few-Shot Learning approach for plant disease classification using images taken in the field**\nhttps://www.sciencedirect.com/science/article/abs/pii/S0168169920302544\n**Related Paper :** [Plant Leaves Classification: A Few-Shot Learning\nMethod Based on Siamese Network](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8869770) (pdf)\n\n\n\n\n\n**Plant Disease Detection and Classification by Deep Learning**\n**Pdf :** https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918394/pdf/plants-08-00468.pdf\n\n**Plant disease identification from individual lesions and spots using deep learning**\n**Requires Access :** https://www.sciencedirect.com/science/article/abs/pii/S1537511018307797\n**Related Paper :** [Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic\nStress](https://arxiv.org/pdf/1907.11561.pdf) [Pdf can be accessed)\n\n\n\n**Development and Validation of a Deep Learning Algorithm for the Recognition of Plant Disease**\n**Requires Access :** https://ieeexplore.ieee.org/abstract/document/8855497\n\nHope you found it useful . If you find any interesting research papers outside this , do mention it in the comment , so I can include it in the post", "1092641": "Thank you very much for compiling the papers. I'm interested in them. 😊", "1092644": "hiroshisakiyama Glad you are finding it useful Professor Hiroshi ..", "1092731": "I've downloaded most of the papers. Please just call me Hiroshi. 😊", "1092733": "hiroshisakiyama Can you share the links to papers in a google drive link , so I can update the post ..It will help others saving time to download it again", "1092760": "Unfortunately, I can't. Sorry. I think it's prohibited by the publishers. In addition, I don't know how to do it. I'm really sorry. 😴 The first and the 7th seem to be open access.", "1092800": "The paper titled \"Plant disease identification using explainable 3D deep learning on hyperspectral images\" in the list is open access, and it was impressive to me. They used reflectance spectra also (Fig. 3). I felt the light at around 680 nm was useful for detecting disease. Please have a look. 😊", "1092806": "hiroshisakiyama I have added related papers with open access for those with restricted access ..", "1092807": "hiroshisakiyama Thank you so much for sharing this Hiroshi . Will definitely have a look and share my thoughts", "1092839": "That's great! 😊", "1102663": "Thanks, so helpful!\n\nFirst paper is funny enough: \"This is the first time when such a \nlarge rice disease dataset has been collected\" and this dataset contains only 619 pictures :)", "2774884": "i will be work on it. thanks for sharing dataset.", "3043732": "Really helpful" }, "source": "meta" }