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A Hybrid Framework Integrating Novel Segmentation and Hybrid Feature Engineering with M-SVM for the Detection and Classification of Wheat Rusts and Septoria
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| Published in: | Foundations of Computing and Decision Sciences |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1869119661822443521 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Foundations of Computing and Decision Sciences |
| description | |
| discipline_display | Computer Science |
| discipline_facet | Computer Science |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:96471 |
| institution | FRELIP |
| journal_source_facet | Foundations of Computing and Decision Sciences |
| last_indexed | 2026-06-27T03:36:54.879Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | A Hybrid Framework Integrating Novel Segmentation and Hybrid Feature Engineering with M-SVM for the Detection and Classification of Wheat Rusts and Septoria Computer Science General Computer Science |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Computer Science General Computer Science |
| subject_facet | Computer Science General Computer Science |
| title | A Hybrid Framework Integrating Novel Segmentation and Hybrid Feature Engineering with M-SVM for the Detection and Classification of Wheat Rusts and Septoria |
| title_alt | Un marco híbrido que integra segmentación novedosa e ingeniería de características híbrida con M-SVM para la detección y clasificación de royas y septoriosis del trigo Un cadre hybride intégrant une nouvelle segmentation et une ingénierie de caractéristiques hybride avec M-SVM pour la détection et la classification des rouilles du blé et de la septoriose Uma Estrutura Híbrida Integrando Segmentação Nova e Engenharia de Características Híbrida com M-SVM para Detecção e Classificação de Ferrugens e Septoria do Trigo |
| title_auth | A Hybrid Framework Integrating Novel Segmentation and Hybrid Feature Engineering with M-SVM for the Detection and Classification of Wheat Rusts and Septoria |
| title_es_txt | Un marco híbrido que integra segmentación novedosa e ingeniería de características híbrida con M-SVM para la detección y clasificación de royas y septoriosis del trigo |
| title_fr_txt | Un cadre hybride intégrant une nouvelle segmentation et une ingénierie de caractéristiques hybride avec M-SVM pour la détection et la classification des rouilles du blé et de la septoriose |
| title_full | A Hybrid Framework Integrating Novel Segmentation and Hybrid Feature Engineering with M-SVM for the Detection and Classification of Wheat Rusts and Septoria |
| title_fullStr | A Hybrid Framework Integrating Novel Segmentation and Hybrid Feature Engineering with M-SVM for the Detection and Classification of Wheat Rusts and Septoria |
| title_full_unstemmed | A Hybrid Framework Integrating Novel Segmentation and Hybrid Feature Engineering with M-SVM for the Detection and Classification of Wheat Rusts and Septoria |
| title_pt_txt | Uma Estrutura Híbrida Integrando Segmentação Nova e Engenharia de Características Híbrida com M-SVM para Detecção e Classificação de Ferrugens e Septoria do Trigo |
| title_short | A Hybrid Framework Integrating Novel Segmentation and Hybrid Feature Engineering with M-SVM for the Detection and Classification of Wheat Rusts and Septoria |
| title_sort | a hybrid framework integrating novel segmentation and hybrid feature engineering with m-svm for the detection and classification of wheat rusts and septoria |
| topic | Computer Science General Computer Science |
| url | https://sciendo.com/article/10.2478/fcds-2026-0009 |