Detection and counting of maize leaves based on two-stage deep learning with uav-based rgb image

HIGHLIGHTS

  • who: Xingmei Xu and collaborators from the College of Information and Technology, Jilin Agricultural University, Changchun, China have published the Article: Detection and Counting of Maize Leaves Based on Two-Stage Deep Learning with UAV-Based RGB Image, in the Journal: (JOURNAL)
  • what: The early growth stage of maize seedlings in the field was taken as the research object in this study, and the deep learning network was used to realize the leaf counting of maize seedlings under the complex field environment with UAV digital images. When the overlapping of leaves was serious or the . . .

     

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