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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | A Disease Prediction and Rectification System for Banana Leaf using CNN |
| Authors Name: | Prof.D.D.Pukale , Gunjan Kokru , Sneha Nadar , Sanskriti Dhar , Shivangi Singh |
| Unique Id: | IJSDR1812013 |
| Published In: | Volume 3 Issue 11, December-2018 |
| Abstract: | Banana is one of the major and economically important fruit crop in India. Banana occupy 20% of the total area of crop in India. In India banana is grown under diverse conditions and production systems. This system focuses to identify, detect and rectify the diseases in banana leaves and also continuously providing updates about the diseases in the leaves of banana plant to the farmer .Here, the system will be provided with the input as regular images of banana leaves captured through different image capturing medias, and the system will further process those images to detect the disease if any and then notify the farmer as well. The system will also guide the farmer about the further actions to be taken such as suggesting him with the right pesticides, fertilizers to use and farming techniques so that diseases will be cured and would not corrupt the crops nearby. Therefore, the further yield of his crop will reach the maximum level and the disease would not replicate in the future. |
| Keywords: | Convolutional Neural Network (CNN), K- NN |
| Cite Article: | "A Disease Prediction and Rectification System for Banana Leaf using CNN", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.77 - 81, December-2018, Available :http://www.ijsdr.org/papers/IJSDR1812013.pdf |
| Downloads: | 000337067 |
| Publication Details: | Published Paper ID: IJSDR1812013 Registration ID:180884 Published In: Volume 3 Issue 11, December-2018 DOI (Digital Object Identifier): Page No: 77 - 81 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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