A YOLO-Based Model for Detecting Stored-Grain Insects on Surface of Grain Bulks
Accurate, rapid, and intelligent stored-grain insect detection and counting are important for integrated pest management (IPM). Existing stored-grain insect pest detection models are often not suitable for detecting tiny insects on the surface of grain bulks and often require high computing resource...
Saved in:
| Main Authors: | Xueyan Zhu, Dandan Li, Yancheng Zheng, Yiming Ma, Xiaoping Yan, Qing Zhou, Qin Wang, Yili Zheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Insects |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4450/16/2/210 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
High-Precision Stored-Grain Insect Pest Detection Method Based on PDA-YOLO
by: Fuyan Sun, et al.
Published: (2025-06-01) -
Studies on the Phototropic Behavior to LED Light of Six Stored Grain Insects
by: YUAN Qing-jiao, et al.
Published: (2024-11-01) -
Location of insects in a barley bulk-grain
by: G. A. Zakladnoy
Published: (2023-11-01) -
Fumigant toxicity of allyl isothiocyanate against phosphine-resistant populations of five major stored-grain insect pests
by: Sudhan SHAH, et al.
Published: (2025-02-01) -
Wi-Pest:a method for detecting stored grain pests based on CSI
by: Shaowei SHAN, et al.
Published: (2020-12-01)