Construction of Lightweight Model for Cotton Top Sprout and Research on Targeted Cotton Topping Device

To mitigate potential risks associated with terminal bud inhibitors on cotton plant growth, ecological environment, and human health during cotton topping operations, a lightweight model by integrating the GhostNetV2 network with an end-side neural network architecture based on the improved YOLOv7-t...

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Veröffentlicht in:IEEE access 2024, Vol.12, p.176498-176510
Hauptverfasser: Jie, Zhang, Musha, Yasenjiang, Jipeng, Yao
Format: Artikel
Sprache:eng
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