| Title: | OS10-2 A Review of Object Detection Techniques Applied to Pest Images |
|---|---|
| Publication: | ICAROB2025 |
| Volume: | 30 |
| Pages: | 286-290 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2025.OS10-2 |
| Author(s): | Hongshuo Zhai, Fengzhi Dai, Lijiang Zhang, Qiang Wang |
| Publication Date: | February 13, 2025 |
| Keywords: | image detection technology, data collection, insufficient robustness, agriculture |
| Abstract: | In agricultural information management, crop pest control has always been an important topic, and the image detection technology of small target pests is particularly critical in this process. At present, the technology faces challenges such as difficult data collection and insufficient robustness. This paper first introduces the development of object detection technology and its application in the field of agriculture, then analyzes the challenges of information-based pest control, discusses the research progress of pest dataset construction, image data augmentation technology and object detection algorithm, and finally points out the future research direction in this field. |
| PDF File: | https://alife-robotics.co.jp/members2025/icarob/data/html/data/OS/OS10/OS10-2.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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