{ "id": 198146, "title": "Research Papers related to this competition ", "url": "/competitions/cassava-leaf-disease-classification/discussion/198146", "author_name": "Shivanand", "post_date": "2020-11-20T00:24:55.105000", "votes": 79, "comment_count": 8, "views": 0, "content": "

These are the few directly applicable research papers on this dataset.

\n\n

please add in the comment if you find any other papers useful.

", "messages": [ { "id": 1084340, "postDate": "2020-11-20T00:24:55.107Z", "content": "

These are the few directly applicable research papers on this dataset.

\n\n

please add in the comment if you find any other papers useful.

", "rawMarkdown": "These are the few directly applicable research papers on this dataset. \n- [iCassava 2019 Fine-Grained Visual Categorization Challenge\n](https://arxiv.org/pdf/1908.02900.pdf)\n- [Using Transfer Learning for Image-Based Cassava Disease Detection](https://arxiv.org/abs/1707.03717)\n\nplease add in the comment if you find any other papers useful.", "votes": 77 }, { "id": 1084363, "postDate": "2020-11-20T01:01:32.780Z", "content": "

Here's some papers for a broader look at plant disease classification (Not specific to cassava):

\n", "rawMarkdown": "Here's some papers for a broader look at plant disease classification (Not specific to cassava):\n\n- [Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification](https://www.sciencedirect.com/science/article/pii/S0168169918304617?casa_token=342G4vxwv-wAAAAA:T0EnU3I3gh196S8Df0d7OGwk4kUuOPhs2voeCDGs1cVU2s7Xgy17RGh7QsAQE2ws--9t3FPhAQ)\n- [Few-Shot Learning approach for plant disease classification using images taken in the field](https://www.sciencedirect.com/science/article/pii/S0168169920302544?casa_token=iHlrwY6EEywAAAAA:tg8ssbKFZaWzHo0NBUBxQLorB7HwcboKc5rSG1KkqXfAbENRO0SS4n5hFGpMRJ8Rn45Vi989vw)\n- [A comparative study of fine-tuning deep learning models for plant disease identification](https://www.sciencedirect.com/science/article/pii/S0168169917313303?casa_token=UDLKSRuzXbsAAAAA:na27gBJi6ptOQ7pcGO0HCknKifeLzBamwvXP0mZNislFqjFscdzU0OP7SXATee4oBLvv_odi4g)", "votes": 18, "replies": [ { "id": 1084368, "postDate": "2020-11-20T01:08:31.823Z", "content": "

this is good @fleabus

", "rawMarkdown": "this is good @fleabus ", "votes": 2 }, { "id": 1088340, "postDate": "2020-11-23T14:31:13.147Z", "content": "

Thanks for papers !

", "rawMarkdown": "Thanks for papers !" } ] }, { "id": 1088709, "postDate": "2020-11-23T21:47:07.387Z", "content": "

Some papers about plant diseases classification using leaves photos:

\n
    \n
  1. Our problem with cassava and imbalanced dataset (Sep 2020): A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks
    2. \n
  2. The same problem, but for banana leaves (ICLR 2020): Mobile-based deep learning models for banana diseases detection
    3. \n
  3. Systematic review about plant disease classification in 47 pages (Sep 2020): Plant diseases recognition on images using convolutional neural networks: a systematic review
    4. \n
  4. Siamese network using VGG (Sep 2020): SSM-Net for Plants Disease Identification in Low Data Regime;
    5. \n
  5. Coffee diseases classification problem by leaves photos (Jul 2019): Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic\nStress
    6. \n
  6. Bonus: classification of cotton leaves diseases using SVM 😊 (May 2014): Classification of Cotton Leaf Spot Disease Using Support Vector Machine
    7. \n
", "rawMarkdown": "Some papers about plant diseases classification using leaves photos:\n1. Our problem with cassava and imbalanced dataset (Sep 2020): [A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks](https://www.sciencedirect.com/science/article/pii/S1110866520301110)\n2. The same problem, but for banana leaves (ICLR 2020): [Mobile-based deep learning models for banana diseases detection](https://arxiv.org/pdf/2004.03718.pdf)\n3. Systematic review about plant disease classification in 47 pages (Sep 2020): [Plant diseases recognition on images using convolutional neural networks: a systematic review](https://arxiv.org/pdf/2009.04365.pdf)\n4. Siamese network using VGG (Sep 2020): [SSM-Net for Plants Disease Identification in Low Data Regime](https://arxiv.org/pdf/2005.13140.pdf);\n5. Coffee diseases classification problem by leaves photos (Jul 2019): [Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic\nStress](https://arxiv.org/pdf/1907.11561.pdf)\n6. Bonus: classification of cotton leaves diseases using SVM 😊 (May 2014): [Classification of Cotton Leaf Spot Disease Using Support Vector Machine](https://core.ac.uk/download/pdf/26198275.pdf)", "votes": 14, "replies": [ { "id": 1091289, "postDate": "2020-11-25T23:11:47.817Z", "rawMarkdown": "", "votes": 1, "isDeleted": true }, { "id": 1154392, "postDate": "2021-01-15T16:05:37.007Z", "content": "

Thanks, great work!

", "rawMarkdown": "Thanks, great work!", "votes": 1 }, { "id": 1190964, "postDate": "2021-02-08T06:38:01.817Z", "content": "

Nice, thank you for sharing.

", "rawMarkdown": "Nice, thank you for sharing.", "votes": 1 } ] }, { "id": 1088529, "postDate": "2020-11-23T17:42:15.097Z", "content": "

https://www.nature.com/articles/s41598-020-59108-x

", "rawMarkdown": "https://www.nature.com/articles/s41598-020-59108-x" } ], "comments": [ { "id": 1084363, "author_name": "Matthew Lee", "author_url": "", "post_date": "2020-11-20T01:01:32.780000", "content": "

Here's some papers for a broader look at plant disease classification (Not specific to cassava):

\n", "votes": 18, "replies": [ { "id": 1084368, "author_name": "Shivanand", "author_url": "", "post_date": "2020-11-20T01:08:31.823000", "content": "

this is good @fleabus

", "votes": 2, "replies": [] }, { "id": 1088340, "author_name": "Etienne R", "author_url": "", "post_date": "2020-11-23T14:31:13.147000", "content": "

Thanks for papers !

", "votes": 0, "replies": [] } ] }, { "id": 1088709, "author_name": "Oleg Khlevnov", "author_url": "", "post_date": "2020-11-23T21:47:07.387000", "content": "

Some papers about plant diseases classification using leaves photos:

\n
    \n
  1. Our problem with cassava and imbalanced dataset (Sep 2020): A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks
    2. \n
  2. The same problem, but for banana leaves (ICLR 2020): Mobile-based deep learning models for banana diseases detection
    3. \n
  3. Systematic review about plant disease classification in 47 pages (Sep 2020): Plant diseases recognition on images using convolutional neural networks: a systematic review
    4. \n
  4. Siamese network using VGG (Sep 2020): SSM-Net for Plants Disease Identification in Low Data Regime;
    5. \n
  5. Coffee diseases classification problem by leaves photos (Jul 2019): Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic\nStress
    6. \n
  6. Bonus: classification of cotton leaves diseases using SVM 😊 (May 2014): Classification of Cotton Leaf Spot Disease Using Support Vector Machine
    7. \n
", "votes": 14, "replies": [ { "id": 1091289, "author_name": "", "author_url": "", "post_date": "2020-11-25T23:11:47.817000", "content": "", "votes": 1, "replies": [] }, { "id": 1154392, "author_name": "Nikolay Ryabikin", "author_url": "", "post_date": "2021-01-15T16:05:37.007000", "content": "

Thanks, great work!

", "votes": 1, "replies": [] }, { "id": 1190964, "author_name": "komakiyyy", "author_url": "", "post_date": "2021-02-08T06:38:01.817000", "content": "

Nice, thank you for sharing.

", "votes": 1, "replies": [] } ] }, { "id": 1088529, "author_name": "venkata yerubandi", "author_url": "", "post_date": "2020-11-23T17:42:15.097000", "content": "

https://www.nature.com/articles/s41598-020-59108-x

", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "1084340": "These are the few directly applicable research papers on this dataset. \n- [iCassava 2019 Fine-Grained Visual Categorization Challenge\n](https://arxiv.org/pdf/1908.02900.pdf)\n- [Using Transfer Learning for Image-Based Cassava Disease Detection](https://arxiv.org/abs/1707.03717)\n\nplease add in the comment if you find any other papers useful.", "1084363": "Here's some papers for a broader look at plant disease classification (Not specific to cassava):\n\n- [Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification](https://www.sciencedirect.com/science/article/pii/S0168169918304617?casa_token=342G4vxwv-wAAAAA:T0EnU3I3gh196S8Df0d7OGwk4kUuOPhs2voeCDGs1cVU2s7Xgy17RGh7QsAQE2ws--9t3FPhAQ)\n- [Few-Shot Learning approach for plant disease classification using images taken in the field](https://www.sciencedirect.com/science/article/pii/S0168169920302544?casa_token=iHlrwY6EEywAAAAA:tg8ssbKFZaWzHo0NBUBxQLorB7HwcboKc5rSG1KkqXfAbENRO0SS4n5hFGpMRJ8Rn45Vi989vw)\n- [A comparative study of fine-tuning deep learning models for plant disease identification](https://www.sciencedirect.com/science/article/pii/S0168169917313303?casa_token=UDLKSRuzXbsAAAAA:na27gBJi6ptOQ7pcGO0HCknKifeLzBamwvXP0mZNislFqjFscdzU0OP7SXATee4oBLvv_odi4g)", "1088709": "Some papers about plant diseases classification using leaves photos:\n1. Our problem with cassava and imbalanced dataset (Sep 2020): [A predictive machine learning application in agriculture: Cassava disease detection and classification with imbalanced dataset using convolutional neural networks](https://www.sciencedirect.com/science/article/pii/S1110866520301110)\n2. The same problem, but for banana leaves (ICLR 2020): [Mobile-based deep learning models for banana diseases detection](https://arxiv.org/pdf/2004.03718.pdf)\n3. Systematic review about plant disease classification in 47 pages (Sep 2020): [Plant diseases recognition on images using convolutional neural networks: a systematic review](https://arxiv.org/pdf/2009.04365.pdf)\n4. Siamese network using VGG (Sep 2020): [SSM-Net for Plants Disease Identification in Low Data Regime](https://arxiv.org/pdf/2005.13140.pdf);\n5. Coffee diseases classification problem by leaves photos (Jul 2019): [Deep Learning for Classification and Severity Estimation of Coffee Leaf Biotic\nStress](https://arxiv.org/pdf/1907.11561.pdf)\n6. Bonus: classification of cotton leaves diseases using SVM 😊 (May 2014): [Classification of Cotton Leaf Spot Disease Using Support Vector Machine](https://core.ac.uk/download/pdf/26198275.pdf)", "1088529": "https://www.nature.com/articles/s41598-020-59108-x" } }