Tender leaf identification for early-spring green tea based on semi-supervised learning and image processing

HIGHLIGHTS

• who: Jie Yang and Yong Chen from the College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China have published the research work: Tender Leaf Identification for Early-Spring Green Tea Based on Semi-Supervised Learning and Image Processing, in the Journal: Agronomy 2022, 12, 1958. of 19/08/2022
• what: The experiments have shown that tender leaves in early spring can be identified effectively using the model learning which has strong versatility and perfect adaptability so as to improve the problem of deep learning requiring a large number of labeled samples.
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