Rice Growth-Stage Recognition Based on Improved YOLOv8 with UAV Imagery

Rice Growth-Stage Recognition Based on Improved YOLOv8 with UAV Imagery

To optimize rice yield and enhance quality through targeted field management at each growth stage, rapid and accurate identification of rice growth stages is crucial. This study presents the Mobilenetv3-YOLOv8 rice growth-stage recognition model, designed for high efficiency and accuracy using Unman...

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Bibliographic Details
Main Authors: Wenxi Cai, Kunbiao Lu, Mengtao Fan, Changjiang Liu, Wenjie Huang, Jiaju Chen, Zaoming Wu, Chudong Xu, Xu Ma, Suiyan Tan
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Agronomy
Subjects:
rice growth stages
YOLOv8
Mobilenetv3
attention mechanism
coordinate attention
Online Access:https://www.mdpi.com/2073-4395/14/12/2751
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