YOLO-JD: A Deep Learning Network for Jute Diseases and Pests Detection from Images
Recently, disease prevention in jute plants has become an urgent topic as a result of the growing demand for finer quality fiber. This research presents a deep learning network called YOLO-JD for detecting jute diseases from images. In the main architecture of YOLO-JD, we integrated three new module...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-03-01
|
| Series: | Plants |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2223-7747/11/7/937 |
| _version_ | 1797438078541889536 |
|---|---|
| author | Dawei Li Foysal Ahmed Nailong Wu Arlin I. Sethi |
| author_facet | Dawei Li Foysal Ahmed Nailong Wu Arlin I. Sethi |
| author_sort | Dawei Li |
| collection | DOAJ |
| description | Recently, disease prevention in jute plants has become an urgent topic as a result of the growing demand for finer quality fiber. This research presents a deep learning network called YOLO-JD for detecting jute diseases from images. In the main architecture of YOLO-JD, we integrated three new modules such as Sand Clock Feature Extraction Module (SCFEM), Deep Sand Clock Feature Extraction Module (DSCFEM), and Spatial Pyramid Pooling Module (SPPM) to extract image features effectively. We also built a new large-scale image dataset for jute diseases and pests with ten classes. Compared with other state-of-the-art experiments, YOLO-JD has achieved the best detection accuracy, with an average mAP of 96.63%. |
| first_indexed | 2024-03-09T11:32:01Z |
| format | Article |
| id | doaj.art-cbb74b2a81dd43179454611fe97f3217 |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-09T11:32:01Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj.art-cbb74b2a81dd43179454611fe97f32172023-11-30T23:51:06ZengMDPI AGPlants2223-77472022-03-0111793710.3390/plants11070937YOLO-JD: A Deep Learning Network for Jute Diseases and Pests Detection from ImagesDawei Li0Foysal Ahmed1Nailong Wu2Arlin I. Sethi3College of Information Sciences and Technology, Donghua University, Shanghai 201620, ChinaCollege of Information Sciences and Technology, Donghua University, Shanghai 201620, ChinaCollege of Information Sciences and Technology, Donghua University, Shanghai 201620, ChinaDepartment of Chemistry, Faculty of Science, National University of Bangladesh, Gazipur, Dhaka 1704, BangladeshRecently, disease prevention in jute plants has become an urgent topic as a result of the growing demand for finer quality fiber. This research presents a deep learning network called YOLO-JD for detecting jute diseases from images. In the main architecture of YOLO-JD, we integrated three new modules such as Sand Clock Feature Extraction Module (SCFEM), Deep Sand Clock Feature Extraction Module (DSCFEM), and Spatial Pyramid Pooling Module (SPPM) to extract image features effectively. We also built a new large-scale image dataset for jute diseases and pests with ten classes. Compared with other state-of-the-art experiments, YOLO-JD has achieved the best detection accuracy, with an average mAP of 96.63%.https://www.mdpi.com/2223-7747/11/7/937Jutedisease detectiondeep learningYOLO-JDimage processing |
| spellingShingle | Dawei Li Foysal Ahmed Nailong Wu Arlin I. Sethi YOLO-JD: A Deep Learning Network for Jute Diseases and Pests Detection from Images Plants Jute disease detection deep learning YOLO-JD image processing |
| title | YOLO-JD: A Deep Learning Network for Jute Diseases and Pests Detection from Images |
| title_full | YOLO-JD: A Deep Learning Network for Jute Diseases and Pests Detection from Images |
| title_fullStr | YOLO-JD: A Deep Learning Network for Jute Diseases and Pests Detection from Images |
| title_full_unstemmed | YOLO-JD: A Deep Learning Network for Jute Diseases and Pests Detection from Images |
| title_short | YOLO-JD: A Deep Learning Network for Jute Diseases and Pests Detection from Images |
| title_sort | yolo jd a deep learning network for jute diseases and pests detection from images |
| topic | Jute disease detection deep learning YOLO-JD image processing |
| url | https://www.mdpi.com/2223-7747/11/7/937 |
| work_keys_str_mv | AT daweili yolojdadeeplearningnetworkforjutediseasesandpestsdetectionfromimages AT foysalahmed yolojdadeeplearningnetworkforjutediseasesandpestsdetectionfromimages AT nailongwu yolojdadeeplearningnetworkforjutediseasesandpestsdetectionfromimages AT arlinisethi yolojdadeeplearningnetworkforjutediseasesandpestsdetectionfromimages |