HIGHLIGHTS
- who: Xubin Song and colleagues from the University of Adelaide, Australia have published the Article: Real-time determination of flowering period for field wheat based on improved YOLOv5s model, in the Journal: (JOURNAL)
- what: Considering that this paper is applied to the detection of the wheat flowering period in the field with high real-time requirements, a network model based on improved YOLOv5s is proposed. The detection results of the original YOLOv5s model showed that the main reason for the low recognition accuracy is a relatively uniform degree of feature standard extracted from RGB images . . .
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