Classification of Leaf Diseases in Oil Palm Plants with Haar Wavelet Transform Features Based on Machine Learning
Oil palm plants are essential as they produce palm fruit that can be processed into edible oil—an essential human need. However, these plants are often infected with diseases, negatively impacting crop productivity and the quality of the oil produced. These diseases are caused by mushrooms, bacteria...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2024-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/63/bioconf_sage-grace2024_01002.pdf |
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| author | Jusman Yessi Maulana Alfinto Lubis Julnila Husna |
| author_facet | Jusman Yessi Maulana Alfinto Lubis Julnila Husna |
| author_sort | Jusman Yessi |
| collection | DOAJ |
| description | Oil palm plants are essential as they produce palm fruit that can be processed into edible oil—an essential human need. However, these plants are often infected with diseases, negatively impacting crop productivity and the quality of the oil produced. These diseases are caused by mushrooms, bacteria, viruses, and pests that can spread rapidly and damage the leaves. Therefore, early detection of oil palm leaf disease plays a crucial role in reducing the negative impact on crops and significant economic losses. This study aims to design a system to classify the types of leaf diseases of oil palm plants using texture feature extraction (Haar Wavelet Algorithm) and machine learning-based classification algorithms (Cubic SVM, Medium Gaussian SVM, Quadratic SVM, Cosine KNN, Fine KNN, and Weighted KNN). Cubic SVM yielded the highest training result with an averages accuracy of 81.54% and an average time of 48.135 seconds. However, Medium Gaussian SVM outperformed other models during testing, producing an accuracy of 87%, precision of 81%, recall of 81 %, specificity of 90%, and F-score of 81%. |
| format | Article |
| id | doaj-art-9b65eab5a113487280cf27bdf76f8b4d |
| institution | OA Journals |
| issn | 2117-4458 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj-art-9b65eab5a113487280cf27bdf76f8b4d2025-08-20T02:36:09ZengEDP SciencesBIO Web of Conferences2117-44582024-01-011440100210.1051/bioconf/202414401002bioconf_sage-grace2024_01002Classification of Leaf Diseases in Oil Palm Plants with Haar Wavelet Transform Features Based on Machine LearningJusman Yessi0Maulana Alfinto1Lubis Julnila Husna2Department of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah YogyakartaDepartment of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah YogyakartaFaculty of Electrical Engineering and Technology, Universiti Malaysia PerlisOil palm plants are essential as they produce palm fruit that can be processed into edible oil—an essential human need. However, these plants are often infected with diseases, negatively impacting crop productivity and the quality of the oil produced. These diseases are caused by mushrooms, bacteria, viruses, and pests that can spread rapidly and damage the leaves. Therefore, early detection of oil palm leaf disease plays a crucial role in reducing the negative impact on crops and significant economic losses. This study aims to design a system to classify the types of leaf diseases of oil palm plants using texture feature extraction (Haar Wavelet Algorithm) and machine learning-based classification algorithms (Cubic SVM, Medium Gaussian SVM, Quadratic SVM, Cosine KNN, Fine KNN, and Weighted KNN). Cubic SVM yielded the highest training result with an averages accuracy of 81.54% and an average time of 48.135 seconds. However, Medium Gaussian SVM outperformed other models during testing, producing an accuracy of 87%, precision of 81%, recall of 81 %, specificity of 90%, and F-score of 81%.https://www.bio-conferences.org/articles/bioconf/pdf/2024/63/bioconf_sage-grace2024_01002.pdf |
| spellingShingle | Jusman Yessi Maulana Alfinto Lubis Julnila Husna Classification of Leaf Diseases in Oil Palm Plants with Haar Wavelet Transform Features Based on Machine Learning BIO Web of Conferences |
| title | Classification of Leaf Diseases in Oil Palm Plants with Haar Wavelet Transform Features Based on Machine Learning |
| title_full | Classification of Leaf Diseases in Oil Palm Plants with Haar Wavelet Transform Features Based on Machine Learning |
| title_fullStr | Classification of Leaf Diseases in Oil Palm Plants with Haar Wavelet Transform Features Based on Machine Learning |
| title_full_unstemmed | Classification of Leaf Diseases in Oil Palm Plants with Haar Wavelet Transform Features Based on Machine Learning |
| title_short | Classification of Leaf Diseases in Oil Palm Plants with Haar Wavelet Transform Features Based on Machine Learning |
| title_sort | classification of leaf diseases in oil palm plants with haar wavelet transform features based on machine learning |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2024/63/bioconf_sage-grace2024_01002.pdf |
| work_keys_str_mv | AT jusmanyessi classificationofleafdiseasesinoilpalmplantswithhaarwavelettransformfeaturesbasedonmachinelearning AT maulanaalfinto classificationofleafdiseasesinoilpalmplantswithhaarwavelettransformfeaturesbasedonmachinelearning AT lubisjulnilahusna classificationofleafdiseasesinoilpalmplantswithhaarwavelettransformfeaturesbasedonmachinelearning |