Apple surface defect detection method based on weight comparison transfer learning with mobilenetv3

HIGHLIGHTS

  • who: Haiping Si and colleagues from the College of Information and Management Science, Henan Agricultural University, Zhengzhou, China have published the paper: Apple Surface Defect Detection Method Based on Weight Comparison Transfer Learning with MobileNetV3, in the Journal: Agriculture 2023, 13, x FOR PEER REVIEW Agriculture 2023, 13, 824 of /2023/
  • what: The authors propose an based on weight contrast transfer and the MobileNetV3 model. To better achieve the detection of apple surface defects, calyx, and apple stalks in this paper, a thermal infrared and visible fusion algorithm is introduced to construct a thermal infrared . . .

     

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