Real-Time Detection of Crops with Dense Planting Using Deep Learning at Seedling Stage
Crop seedlings are similar in appearance to weeds, making crop detection extremely difficult. To solve the problem of detecting crop seedlings in complex field environments, a seedling dataset with four crops was constructed in this study. The single leaf labeling method was proposed as an alternati...
主要な著者: | Shuolin Kong, Jian Li, Yuting Zhai, Zhiyuan Gao, Yang Zhou, Yanlei Xu |
---|---|
フォーマット: | 論文 |
言語: | English |
出版事項: |
MDPI AG
2023-05-01
|
シリーズ: | Agronomy |
主題: | |
オンライン・アクセス: | https://www.mdpi.com/2073-4395/13/6/1503 |
類似資料
-
Study on Lightweight Model of Maize Seedling Object Detection Based on YOLOv7
著者:: Kai Zhao, 等
出版事項: (2023-06-01) -
Dense Papaya Target Detection in Natural Environment Based on Improved YOLOv5s
著者:: Lei Wang, 等
出版事項: (2023-07-01) -
Lightweight Underwater Target Detection Algorithm Based on Dynamic Sampling Transformer and Knowledge-Distillation Optimization
著者:: Liang Chen, 等
出版事項: (2023-02-01) -
Lightweight Daylily Grading and Detection Model Based on Improved YOLOv10
著者:: JIN Xuemeng, 等
出版事項: (2024-09-01) -
Lightweight SM-YOLOv5 Tomato Fruit Detection Algorithm for Plant Factory
著者:: Xinfa Wang, 等
出版事項: (2023-03-01)