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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: | DETECTION AND CLASSIFICATION DISEASE OF CITRUS FRUIT |
| Authors Name: | PROF.KUNAL R AHIRE , PRATIK GOSAVI , GANESH JADHAV , MANALI PATIL , JAGRUTI DAHIVADKAR |
| Unique Id: | IJSDR2303096 |
| Published In: | Volume 8 Issue 3, March-2023 |
| Abstract: | Citrus plants such as lemon are mainly affected by citrus canker disease which affects the fruit production of the plants. Early canker disease distinguishing proof is one of the troublesome answers for expanding the plant generation. Previous methods intend to recognize and order the infection malady precisely from the influenced leaf pictures by embracing picture handling methods to distinguish plant leaf sicknesses from computerized pictures. In proposed project, an image recognition method of citrus diseases based on deep learning is proposed. We built a citrus image data set including six common citrus diseases. The deep learning network is used to train and learn these images, which can effectively identify and classify crop diseases. In the experiment, we use Deep Learning model as the primary network and compare it with other network models in the aspect of speed, model size, accuracy. Results show that our method reduces the prediction time consumption and model size while keeping a good classification accuracy. Finally, we discuss the significance of using machine learning to identify and classify agricultural diseases in terminal, and put forward relevant suggestions. |
| Keywords: | Machine Learning, Image Processing, Segmentation, Deep CNN |
| Cite Article: | "DETECTION AND CLASSIFICATION DISEASE OF CITRUS FRUIT", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 3, page no.597 - 600, March-2023, Available :http://www.ijsdr.org/papers/IJSDR2303096.pdf |
| Downloads: | 000337067 |
| Publication Details: | Published Paper ID: IJSDR2303096 Registration ID:204604 Published In: Volume 8 Issue 3, March-2023 DOI (Digital Object Identifier): Page No: 597 - 600 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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