A Novel Approach to Apple Leaf Disease Detection UsingNeutrosophic Logic-Integrated EfcientNetB0
Detecting diseases in apple leaves accurately and efficiently is vital for maintaining healthy crops and ensuring optimal yield. This paper introduces a novel approach that integrates Neutrosophic Logic with the EfficientNetB0 model to enhance the classification of apple leaf diseases. The proposed...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of New Mexico
2024-11-01
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| Series: | Neutrosophic Sets and Systems |
| Subjects: | |
| Online Access: | https://fs.unm.edu/NSS/16Arpan-Singh-Rajput_A.pdf |
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| _version_ | 1849228905957818368 |
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| author | Arpan Singh Rajput Alpa Singh Rajput Samajh Singh Thakur |
| author_facet | Arpan Singh Rajput Alpa Singh Rajput Samajh Singh Thakur |
| author_sort | Arpan Singh Rajput |
| collection | DOAJ |
| description | Detecting diseases in apple leaves accurately and efficiently is vital for maintaining healthy crops and ensuring optimal yield. This paper introduces a novel approach that integrates Neutrosophic Logic with the EfficientNetB0 model to enhance the classification of apple leaf diseases. The proposed method significantly improves precision, recall, and F1-scores across multiple disease classes, demonstrating its robustness and effectiveness compared to traditional techniques. |
| format | Article |
| id | doaj-art-e3e1aff1d87749a7b3d5b7b3ee4f43b4 |
| institution | Kabale University |
| issn | 2331-6055 2331-608X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | University of New Mexico |
| record_format | Article |
| series | Neutrosophic Sets and Systems |
| spelling | doaj-art-e3e1aff1d87749a7b3d5b7b3ee4f43b42025-08-22T12:32:41ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2024-11-017316917710.5281/zenodo.13989164A Novel Approach to Apple Leaf Disease Detection UsingNeutrosophic Logic-Integrated EfcientNetB0Arpan Singh RajputAlpa Singh RajputSamajh Singh ThakurDetecting diseases in apple leaves accurately and efficiently is vital for maintaining healthy crops and ensuring optimal yield. This paper introduces a novel approach that integrates Neutrosophic Logic with the EfficientNetB0 model to enhance the classification of apple leaf diseases. The proposed method significantly improves precision, recall, and F1-scores across multiple disease classes, demonstrating its robustness and effectiveness compared to traditional techniques.https://fs.unm.edu/NSS/16Arpan-Singh-Rajput_A.pdfappledisease detectionefcientnetb0 |
| spellingShingle | Arpan Singh Rajput Alpa Singh Rajput Samajh Singh Thakur A Novel Approach to Apple Leaf Disease Detection UsingNeutrosophic Logic-Integrated EfcientNetB0 Neutrosophic Sets and Systems apple disease detection efcientnetb0 |
| title | A Novel Approach to Apple Leaf Disease Detection UsingNeutrosophic Logic-Integrated EfcientNetB0 |
| title_full | A Novel Approach to Apple Leaf Disease Detection UsingNeutrosophic Logic-Integrated EfcientNetB0 |
| title_fullStr | A Novel Approach to Apple Leaf Disease Detection UsingNeutrosophic Logic-Integrated EfcientNetB0 |
| title_full_unstemmed | A Novel Approach to Apple Leaf Disease Detection UsingNeutrosophic Logic-Integrated EfcientNetB0 |
| title_short | A Novel Approach to Apple Leaf Disease Detection UsingNeutrosophic Logic-Integrated EfcientNetB0 |
| title_sort | novel approach to apple leaf disease detection usingneutrosophic logic integrated efcientnetb0 |
| topic | apple disease detection efcientnetb0 |
| url | https://fs.unm.edu/NSS/16Arpan-Singh-Rajput_A.pdf |
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