{
  "id": 226315,
  "title": "🌿 ☘️ 🍀 Deep Learning + Plant Disease Classification Research Papers - Compilation",
  "url": "/competitions/plant-pathology-2021-fgvc8/discussion/226315",
  "author_name": "",
  "post_date": "2021-03-16T04:21:09.688882100Z",
  "votes": 26,
  "comment_count": 3,
  "views": 0,
  "content": "<p>This is a repost of my discussion thread in cassava <a href=\"https://www.kaggle.com/c/cassava-leaf-disease-classification/discussion/199692\" target=\"_blank\">here</a></p>\n<p>This is a compilation of research papers using Deep Learning on Plant disease Classification released from 2019 .</p>\n<p><strong>RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK</strong><br>\n<strong>Pdf :</strong> <a href=\"https://d-nb.info/1191898725/34\" target=\"_blank\">https://d-nb.info/1191898725/34</a></p>\n<p><img src=\"https://drive.google.com/uc?id=1_jNbNfJFm3kj2vZRVYiZ6OQcTZxWw13A\" alt=\"\"></p>\n<p><strong>Depthwise separable convolution architectures for plant disease classification</strong><br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0168169918318696\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S0168169918318696</a><br>\n<strong>Arivx Link :</strong> <a href=\"https://arxiv.org/abs/1610.02357v3(Xception:\" target=\"_blank\">https://arxiv.org/abs/1610.02357v3(Xception:</a> Deep Learning with Depthwise Separable Convolutions)<br>\n<strong>Papers with Code :</strong>   <a href=\"https://paperswithcode.com/method/depthwise-separable-convolution\" target=\"_blank\">https://paperswithcode.com/method/depthwise-separable-convolution</a> (Code snippet available)</p>\n<p><strong>A comparative study of fine-tuning deep learning models for plant disease identification</strong><br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0168169917313303\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S0168169917313303</a><br>\n<strong>Pdf File :</strong> <a href=\"http://download.eline.ba/downloads/PowerUpdate/too2018.pdf\" target=\"_blank\">http://download.eline.ba/downloads/PowerUpdate/too2018.pdf</a><br>\n<strong>Related Paper :</strong>   <a href=\"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&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20201127T063839Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTY3SGCTRUK%2F20201127%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=0611ecf9916f803495781634c81fdc2169e4d19cb1e26f5fbab481f61562e9bb&amp;hash=acbe0421396dd7cfb593a6d6c8f38a246ad6209a18b3250e35026eb1c5b0f5ad&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S1877050920306906&amp;tid=spdf-6c321a18-77d7-4306-b1a6-47bf3bde9b85&amp;sid=ec1f22041a79a74f7d98d5f0e3cb284d1b08gxrqb&amp;type=client\" target=\"_blank\">ToLeD: Tomato Leaf Disease Detection using Convolution Neural\nNetwork </a></p>\n<p><img src=\"https://drive.google.com/uc?id=1r-eS9Lt2kV3zdQbiK9tMs3oQGOhtHWZV\" alt=\"\"></p>\n<p><strong>Plant disease identification using explainable 3D deep learning on hyperspectral images</strong><br>\n<strong>Open Access to Pdf :</strong> <a href=\"https://plantmethods.biomedcentral.com/articles/10.1186/s13007-019-0479-8\" target=\"_blank\">https://plantmethods.biomedcentral.com/articles/10.1186/s13007-019-0479-8</a></p>\n<p><strong>Few-Shot Learning approach for plant disease classification using images taken in the field</strong><br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0168169920302544\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S0168169920302544</a><br>\n<strong>Related Paper :</strong> <a href=\"https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8869770\" target=\"_blank\">Plant Leaves Classification: A Few-Shot Learning\nMethod Based on Siamese Network</a> (pdf)</p>\n<p><img src=\"https://drive.google.com/uc?id=1R6hSOTfO13J7BT8KyzIUNG3g8PFGzl-6\" alt=\"\"></p>\n<p><strong>Plant Disease Detection and Classification by Deep Learning</strong><br>\n<strong>Pdf :</strong> <a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918394/pdf/plants-08-00468.pdf\" target=\"_blank\">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918394/pdf/plants-08-00468.pdf</a></p>\n<p><strong>Plant disease identification from individual lesions and spots using deep learning</strong><br>\n<strong>Requires Access :</strong> <a href=\"https://www.sciencedirect.com/science/article/abs/pii/S1537511018307797\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S1537511018307797</a><br>\n<strong>Related Paper :</strong> <a href=\"https://arxiv.org/pdf/1907.11561.pdf\" target=\"_blank\">Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic\nStress</a> [Pdf can be accessed)</p>\n<p><img src=\"https://drive.google.com/uc?id=12hVd48HoST6jReqCFIvIPURSMFd7zjSx\" alt=\"\"></p>\n<p><strong>Development and Validation of a Deep Learning Algorithm for the Recognition of Plant Disease</strong><br>\n<strong>Requires Access :</strong> <a href=\"https://ieeexplore.ieee.org/abstract/document/8855497\" target=\"_blank\">https://ieeexplore.ieee.org/abstract/document/8855497</a></p>\n<p>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</p>",
  "messages": [
    {
      "id": "1239846",
      "postDate": "03/16/2021 04:21:09",
      "content": "<p>This is a repost of my discussion thread in cassava <a href=\"https://www.kaggle.com/c/cassava-leaf-disease-classification/discussion/199692\" target=\"_blank\">here</a></p>\n<p>This is a compilation of research papers using Deep Learning on Plant disease Classification released from 2019 .</p>\n<p><strong>RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK</strong><br>\n<strong>Pdf :</strong> <a href=\"https://d-nb.info/1191898725/34\" target=\"_blank\">https://d-nb.info/1191898725/34</a></p>\n<p><img src=\"https://drive.google.com/uc?id=1_jNbNfJFm3kj2vZRVYiZ6OQcTZxWw13A\" alt=\"\"></p>\n<p><strong>Depthwise separable convolution architectures for plant disease classification</strong><br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0168169918318696\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S0168169918318696</a><br>\n<strong>Arivx Link :</strong> <a href=\"https://arxiv.org/abs/1610.02357v3(Xception:\" target=\"_blank\">https://arxiv.org/abs/1610.02357v3(Xception:</a> Deep Learning with Depthwise Separable Convolutions)<br>\n<strong>Papers with Code :</strong>   <a href=\"https://paperswithcode.com/method/depthwise-separable-convolution\" target=\"_blank\">https://paperswithcode.com/method/depthwise-separable-convolution</a> (Code snippet available)</p>\n<p><strong>A comparative study of fine-tuning deep learning models for plant disease identification</strong><br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0168169917313303\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S0168169917313303</a><br>\n<strong>Pdf File :</strong> <a href=\"http://download.eline.ba/downloads/PowerUpdate/too2018.pdf\" target=\"_blank\">http://download.eline.ba/downloads/PowerUpdate/too2018.pdf</a><br>\n<strong>Related Paper :</strong>   <a href=\"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&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20201127T063839Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTY3SGCTRUK%2F20201127%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=0611ecf9916f803495781634c81fdc2169e4d19cb1e26f5fbab481f61562e9bb&amp;hash=acbe0421396dd7cfb593a6d6c8f38a246ad6209a18b3250e35026eb1c5b0f5ad&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S1877050920306906&amp;tid=spdf-6c321a18-77d7-4306-b1a6-47bf3bde9b85&amp;sid=ec1f22041a79a74f7d98d5f0e3cb284d1b08gxrqb&amp;type=client\" target=\"_blank\">ToLeD: Tomato Leaf Disease Detection using Convolution Neural\nNetwork </a></p>\n<p><img src=\"https://drive.google.com/uc?id=1r-eS9Lt2kV3zdQbiK9tMs3oQGOhtHWZV\" alt=\"\"></p>\n<p><strong>Plant disease identification using explainable 3D deep learning on hyperspectral images</strong><br>\n<strong>Open Access to Pdf :</strong> <a href=\"https://plantmethods.biomedcentral.com/articles/10.1186/s13007-019-0479-8\" target=\"_blank\">https://plantmethods.biomedcentral.com/articles/10.1186/s13007-019-0479-8</a></p>\n<p><strong>Few-Shot Learning approach for plant disease classification using images taken in the field</strong><br>\n<a href=\"https://www.sciencedirect.com/science/article/abs/pii/S0168169920302544\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S0168169920302544</a><br>\n<strong>Related Paper :</strong> <a href=\"https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8869770\" target=\"_blank\">Plant Leaves Classification: A Few-Shot Learning\nMethod Based on Siamese Network</a> (pdf)</p>\n<p><img src=\"https://drive.google.com/uc?id=1R6hSOTfO13J7BT8KyzIUNG3g8PFGzl-6\" alt=\"\"></p>\n<p><strong>Plant Disease Detection and Classification by Deep Learning</strong><br>\n<strong>Pdf :</strong> <a href=\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918394/pdf/plants-08-00468.pdf\" target=\"_blank\">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6918394/pdf/plants-08-00468.pdf</a></p>\n<p><strong>Plant disease identification from individual lesions and spots using deep learning</strong><br>\n<strong>Requires Access :</strong> <a href=\"https://www.sciencedirect.com/science/article/abs/pii/S1537511018307797\" target=\"_blank\">https://www.sciencedirect.com/science/article/abs/pii/S1537511018307797</a><br>\n<strong>Related Paper :</strong> <a href=\"https://arxiv.org/pdf/1907.11561.pdf\" target=\"_blank\">Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic\nStress</a> [Pdf can be accessed)</p>\n<p><img src=\"https://drive.google.com/uc?id=12hVd48HoST6jReqCFIvIPURSMFd7zjSx\" alt=\"\"></p>\n<p><strong>Development and Validation of a Deep Learning Algorithm for the Recognition of Plant Disease</strong><br>\n<strong>Requires Access :</strong> <a href=\"https://ieeexplore.ieee.org/abstract/document/8855497\" target=\"_blank\">https://ieeexplore.ieee.org/abstract/document/8855497</a></p>\n<p>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</p>",
      "rawMarkdown": "This is a repost of my discussion thread in cassava [here](https://www.kaggle.com/c/cassava-leaf-disease-classification/discussion/199692)\n\n\nThis 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![](https://drive.google.com/uc?id=1_jNbNfJFm3kj2vZRVYiZ6OQcTZxWw13A)\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![](https://drive.google.com/uc?id=1r-eS9Lt2kV3zdQbiK9tMs3oQGOhtHWZV)\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![](https://drive.google.com/uc?id=1R6hSOTfO13J7BT8KyzIUNG3g8PFGzl-6)\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![](https://drive.google.com/uc?id=12hVd48HoST6jReqCFIvIPURSMFd7zjSx)\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": "1240226",
      "postDate": "03/16/2021 09:56:34",
      "content": "<p>Thank you so much <a href=\"https://www.kaggle.com/usharengaraju\" target=\"_blank\">@usharengaraju</a>. Did a simple Tomato leaf disease prediction project after reading this. Keep rocking</p>",
      "rawMarkdown": "Thank you so much @usharengaraju. Did a simple Tomato leaf disease prediction project after reading this. Keep rocking",
      "votes": null
    },
    {
      "id": "1244790",
      "postDate": "03/19/2021 08:24:36",
      "content": "<p>interesting </p>",
      "rawMarkdown": "interesting",
      "votes": null
    },
    {
      "id": "3185743",
      "postDate": "04/23/2025 18:44:28",
      "content": "<p>Sir give me this project</p>",
      "rawMarkdown": "Sir give me this project",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1240226,
      "author_name": "thrineshduvvuru",
      "author_url": "",
      "post_date": "03/16/2021 09:56:34",
      "content": "<p>Thank you so much <a href=\"https://www.kaggle.com/usharengaraju\" target=\"_blank\">@usharengaraju</a>. Did a simple Tomato leaf disease prediction project after reading this. Keep rocking</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 1244790,
      "author_name": "yasserhessein",
      "author_url": "",
      "post_date": "03/19/2021 08:24:36",
      "content": "<p>interesting </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 3185743,
      "author_name": "saalarabbasi",
      "author_url": "",
      "post_date": "04/23/2025 18:44:28",
      "content": "<p>Sir give me this project</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1239846": "This is a repost of my discussion thread in cassava [here](https://www.kaggle.com/c/cassava-leaf-disease-classification/discussion/199692)\n\n\nThis 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![](https://drive.google.com/uc?id=1_jNbNfJFm3kj2vZRVYiZ6OQcTZxWw13A)\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![](https://drive.google.com/uc?id=1r-eS9Lt2kV3zdQbiK9tMs3oQGOhtHWZV)\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![](https://drive.google.com/uc?id=1R6hSOTfO13J7BT8KyzIUNG3g8PFGzl-6)\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![](https://drive.google.com/uc?id=12hVd48HoST6jReqCFIvIPURSMFd7zjSx)\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",
    "1240226": "Thank you so much @usharengaraju. Did a simple Tomato leaf disease prediction project after reading this. Keep rocking",
    "1244790": "interesting",
    "3185743": "Sir give me this project"
  },
  "source": "meta"
}