Weed detection in cornfields based on improved lightweight neural network model
Accurate weed detection in cornfields is a basis for their prevention and control. Machine vision technology is an effective method for accurate weed detection. Thus, this paper selects weeds growing with corn at the seedling stage as the research object. Based on the original YOLOv4, an improved li...
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| Main Authors: | Haicheng Wan, Shanping Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
|
| Series: | Alexandria Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016825003175 |
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