Mask R-CNN Based King Flowers Identification for Precision Apple Pollination

GNE22-293 (project overview)
Project Type: Graduate Student
Funds awarded in 2022: $14,999.00
Projected End Date: 12/31/2024
Grant Recipient: The Pennsylvania State University
Region: Northeast
State: Pennsylvania
Graduate Student:
Xinyang Mu
Email
Faculty Advisor:
Long He
Email
Pennsylvania State University
Description:
This is the poster presented by Xinyang Mu at 2022 Mid-Atlantic Fruit and Vegetable Grower Convention on 2/2/2022.
Type:
Conference/Presentation Material
File:
Download file (PDF)
Authors:
Xinyang Mu, Department of Agricultural and Biological Engineering, Pennsylvania State University; Long He, Department of Agricultural and Biological Engineering, Pennsylvania State University
Target audience:
Researchers
This product is associated with the project "Advancing Robotic Approaches to Precise Apple Crop Load Management"
Any opinions, findings, conclusions, or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the view of the U.S. Department of Agriculture or SARE.