Real-time prediction of growth characteristics for individual fruits using deep learning

HIGHLIGHTS

  • who: Takaya Hondo and collaborators from the Faculty of Engineering, Shinshu University, Wakasato, Nagano City, Nagano, Japan have published the research work: Real-Time Prediction of Growth Characteristics for Individual Fruits Using Deep Learning, in the Journal: Sensors 2022, 6473 of 28/08/2022
  • what: The authors propose a system to record the growth characteristics of individual apples in real time using Mask R-CNN. The authors propose a method 3456 pixels. The correct area (CA), area indicates (CA), which manually annotated area, and area (PA), which which the indicates manually the annotated area, and . . .

     

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