DCP-YOLOv7x: improved pest detection method for low-quality cotton image
Fast and accurate detection of cotton pests using DCP-YOLOv7x provides strong theoretical support for improving cotton quality and yield. Additionally, this method can be further integrated into agricultural edge computing devices to enhance its practical application value.
Authors
- Z. Eddie Ning (ORCID: https://orcid.org/0000-0001-7320-9997)
- Yajun Wei
- Menggen Ma (ORCID: https://orcid.org/0000-0002-1855-7064)
- Yukun Ma (ORCID: https://orcid.org/0000-0002-4419-4287)
- Minghui Qiao
- Uchechukwu Awada
Institutions
- Shandong Jiaotong University (CN)
- Henan Institute of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2024-12-19
- DOI
- https://doi.org/10.3389/fpls.2024.1501043
- Citations
- 1
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.35