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- Title
基于深度学习的青椒识别研究.
- Authors
汪谦谦; 孙艳霞; 徐星星; 金小俊; 于佳琳; 陈勇
- Abstract
In order to solve the problem of intelligent recognition of green peppers, 1 614 images of Su-pepper collected in natural environment were used as the recognition object, deep learning method was adopted, and three neural networks of YOLO-v3, Faster R-CNN and CenterNet were selected for deep learning model training, and the recognition results of different deep learning models were compared and analyzed. The experimental results show that Faster R-CNN is the optimal model for recognition of green peppers, and its accuracy, recall rate and F1 values reach 92.4%, 79% and 85.2%, respectively. This study also proves that the deep learning method can effectively extract image features, which provides a basis for intelligent recognition and picking of green peppers.
- Subjects
OBJECT recognition (Computer vision); DEEP learning; PROBLEM solving; PEPPERS
- Publication
Packaging & Food Machinery, 2023, Vol 41, Issue 3, p89
- ISSN
1005-1295
- Publication type
Article
- DOI
10.3969/j.issn.1005-1295.2023.03.015