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TS-YOLO: An All-Day and Lightweight Tea Canopy Shoots Detection Model

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Affiliation of Author(s):43500

Journal:AGRONOMY-BASEL

Translation or Not:no

Pre One:Optimal training strategy for high-performance detection model of multi-cultivar tea shoots based on deep learning methods

Next One:Evaluation of Two Surface Renewal Methods for Calculating the Sensible Heat Flux over a Tea Field Ecosystem in Hilly Terrain

鹿永宗

Gender:Male Education Level:With Certificate of Graduation for Doctorate Study Alma Mater:江苏大学 Degree:doctor Status:在本单位任职 School/Department:农业工程学院

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