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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: | ANAYLIZING AND DETECTION OF LEAF DISEASE |
| Authors Name: | A.Vishnuvardhan babu , B.Sayareddy , P.Nitheesh reddy , R.Kishore reddy , M.Vignesh Kumar |
| Unique Id: | IJSDR2304025 |
| Published In: | Volume 8 Issue 4, April-2023 |
| Abstract: | The identification of disease on the plant is a very important key to prevent a heavy loss of yield and the quantity of agricultural product. The symptoms can be observed on the parts of the plants such as leaf, stems, lesions and fruits. The leaf shows the symptoms by changing color, showing the spots on it. This identification of the disease is done by manual observation and pathogen detection which can consume more time and may prove costly. The aim of the project is to identify and classify the disease accurately from the leaf images. The steps required in the process are Preprocessing, Training and Identification. For identification of disease features of leaf such as major axis, minor axis etc. are extracted from leaf and given to classifier for classification. In our project we have used four types of leaves such as apple, banana, guava and mango for identifying its disease. We have used four proposed algorithms namely Convolution Neural Network (CNN). This proposed CNN algorithm will be compared to an existing Support Vector Machine (SVM) algorithm in terms of accuracy. |
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| Cite Article: | "ANAYLIZING AND DETECTION OF LEAF DISEASE", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.123 - 125, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304025.pdf |
| Downloads: | 000337071 |
| Publication Details: | Published Paper ID: IJSDR2304025 Registration ID:204880 Published In: Volume 8 Issue 4, April-2023 DOI (Digital Object Identifier): Page No: 123 - 125 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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