USING CONVOLUTIONAL NEURAL NETWORK FOR GRAPE PLANT DISEASE CLASSIFICATION
Plant disease classification is the use of machine learning techniques for determining the type of disease from the input leaf images of the plants based on certain features. It is an important research area since early identification and treatment of plant disease is critical for saving crops, prev...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Bursa Uludag University
2023-12-01
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| Series: | Uludağ University Journal of The Faculty of Engineering |
| Subjects: | |
| Online Access: | https://dergipark.org.tr/tr/download/article-file/3060845 |
| _version_ | 1797369765452316672 |
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| author | Cemal İhsan Sofuoğlu Derya Bırant |
| author_facet | Cemal İhsan Sofuoğlu Derya Bırant |
| author_sort | Cemal İhsan Sofuoğlu |
| collection | DOAJ |
| description | Plant disease classification is the use of machine learning techniques for determining the type of disease from the input leaf images of the plants based on certain features. It is an important research area since early identification and treatment of plant disease is critical for saving crops, preventing agricultural disasters, and improving productivity in agriculture. This study proposes a new convolutional neural network model that accurately classifies the diseases on the plant leaves for the agriculture sectors. It especially works on the classification of plant diseases for grape leaves from images by designing a deeplearning architecture. A web application was also implemented to help the agricultural workers. The experiments carried out on real-world images showed that a significant improvement (8.7%) on average was achieved by the proposed model (98.53%) against the state-of-the-art models (89.84%) in terms of accuracy. |
| first_indexed | 2024-03-08T17:51:33Z |
| format | Article |
| id | doaj.art-e2ceb612ac3f4e3cb5fc785f418246c3 |
| institution | Directory Open Access Journal |
| issn | 2148-4155 |
| language | English |
| last_indexed | 2024-03-08T17:51:33Z |
| publishDate | 2023-12-01 |
| publisher | Bursa Uludag University |
| record_format | Article |
| series | Uludağ University Journal of The Faculty of Engineering |
| spelling | doaj.art-e2ceb612ac3f4e3cb5fc785f418246c32024-01-02T07:56:59ZengBursa Uludag UniversityUludağ University Journal of The Faculty of Engineering2148-41552023-12-0128380982010.17482/uumfd.12774181779USING CONVOLUTIONAL NEURAL NETWORK FOR GRAPE PLANT DISEASE CLASSIFICATIONCemal İhsan Sofuoğlu0Derya Bırant1DOKUZ EYLUL UNIVERSITYDOKUZ EYLUL UNIVERSITYPlant disease classification is the use of machine learning techniques for determining the type of disease from the input leaf images of the plants based on certain features. It is an important research area since early identification and treatment of plant disease is critical for saving crops, preventing agricultural disasters, and improving productivity in agriculture. This study proposes a new convolutional neural network model that accurately classifies the diseases on the plant leaves for the agriculture sectors. It especially works on the classification of plant diseases for grape leaves from images by designing a deeplearning architecture. A web application was also implemented to help the agricultural workers. The experiments carried out on real-world images showed that a significant improvement (8.7%) on average was achieved by the proposed model (98.53%) against the state-of-the-art models (89.84%) in terms of accuracy.https://dergipark.org.tr/tr/download/article-file/3060845deep learningconvolutional neural networkimage classificationagriculturegrapeplant diseasederin öğrenmeevrişimli sinir ağıgörüntü sınıflandırmatarımüzümbitki hastalığı |
| spellingShingle | Cemal İhsan Sofuoğlu Derya Bırant USING CONVOLUTIONAL NEURAL NETWORK FOR GRAPE PLANT DISEASE CLASSIFICATION Uludağ University Journal of The Faculty of Engineering deep learning convolutional neural network image classification agriculture grape plant disease derin öğrenme evrişimli sinir ağı görüntü sınıflandırma tarım üzüm bitki hastalığı |
| title | USING CONVOLUTIONAL NEURAL NETWORK FOR GRAPE PLANT DISEASE CLASSIFICATION |
| title_full | USING CONVOLUTIONAL NEURAL NETWORK FOR GRAPE PLANT DISEASE CLASSIFICATION |
| title_fullStr | USING CONVOLUTIONAL NEURAL NETWORK FOR GRAPE PLANT DISEASE CLASSIFICATION |
| title_full_unstemmed | USING CONVOLUTIONAL NEURAL NETWORK FOR GRAPE PLANT DISEASE CLASSIFICATION |
| title_short | USING CONVOLUTIONAL NEURAL NETWORK FOR GRAPE PLANT DISEASE CLASSIFICATION |
| title_sort | using convolutional neural network for grape plant disease classification |
| topic | deep learning convolutional neural network image classification agriculture grape plant disease derin öğrenme evrişimli sinir ağı görüntü sınıflandırma tarım üzüm bitki hastalığı |
| url | https://dergipark.org.tr/tr/download/article-file/3060845 |
| work_keys_str_mv | AT cemalihsansofuoglu usingconvolutionalneuralnetworkforgrapeplantdiseaseclassification AT deryabırant usingconvolutionalneuralnetworkforgrapeplantdiseaseclassification |