A wheat seedling counting method based on two-stage convolutional neural network
As one of the world’s major food crops, accurate counting of the number of wheat seedlings is of great significance for subsequent yield prediction. In response to the problems in existing manual counting methods, such as time consuming, labor-intensive, and prone to subjective errors, we proposed a...
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| Main Authors: | Menghan Li, Lijie Zhang, Chunshan Wang, Chunjiang Zhao, Libo Li, Dongxiao Li, Yaxuan Xu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375525005635 |
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