Detection model based on improved faster-RCNN in apple orchard environment
Apple detection in complex orchard environments holds significant research importance for yield estimation. Although convolutional neural networks have been widely used in the field of object detection, they also have certain limitations. One of the major drawbacks is their inductive biases of local...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-03-01
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| Series: | Intelligent Systems with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305324000012 |