An improved mask rcnn model for segmentation of ‘kyoho’ (vitis labruscana) grape bunch and detection of its maturity level

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  • who: Yane Li et al. from the College of Mathematics and Computer Science, Zhejiang AandF University, Hangzhou, China have published the Article: An Improved Mask RCNN Model for Segmentation of u2018Kyohou2019 (Vitis labruscana) Grape Bunch and Detection of Its Maturity Level, in the Journal: Agriculture 2023, 914 of /2023/
  • what: In this paper an improved Mask RCNN-based algorithm was proposed by adding attention mechanism modules to establish a bunch segmentation and detection model. The authors first compared different bunch segmentation and detection models established with YoloV3 Solov2 Yolact and Mask RCNN to select the . . .

     

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