Identification of Pruning Branches for for Automated Dormant Pruning M Manoj Karkee j K k Assistant Professor Biological Systems Engineering Department Biological Systems Engineering Department Center for Precision and Automated Agricultural Systems Washington State University
IEEE RAS Ag Robotics and Automation Webinar May 6, 2013 PRUNING • Removal of unwanted branches from Removal of unwanted branches from trees • Improves fruit quality and tree health Improves fruit quality and tree health • Maintains canopy shape and size • Labor intensive and laborious • ~30% of pre-harvest cost in apples 30% o p e a est cost app es
Specialty Crop Engineering Solutions Workshop Pittsburgh, PA; Nov 28, 2012
Specialty Crop Engineering Solutions Workshop Pittsburgh, PA; Nov 28, 2012 Simpler tree architectures open up Simpler tree architectures open up opportunity for automated pruning
Specialty Crop Engineering Solutions Workshop Pittsburgh, PA; Nov 28, 2012
IEEE RAS Ag Robotics and Automation Webinar May 6, 2013 LONG- TERM GOAL Automated Selective Pruning g SPECIFIC OBJECTIVE SPECIFIC OBJECTIVE Identify Branches for Automated Pruning
IEEE RAS Ag Robotics and Automation Webinar May 6, 2013 STEPS • Study Manual Pruning Study Manual Pruning • Reconstruct 3D Skeleton of Trees • Identify Pruning Branches Identify Pruning Branches • Compare with Manual Pruning
IEEE RAS Ag Robotics and Automation Webinar May 6, 2013 STUDY SITE • Alan Bros. Inc, Prosser, WA • Tall Spindle Architecture • Inter-row – 2.44m, inter-plant - 0.45m Inter row 2.44m, inter plant 0.45m • Fourth Year
Specialty Crop Engineering Solutions Workshop Pittsburgh, PA; Nov 28, 2012 HUMAN PRUNING EVALUATION
Specialty Crop Engineering Solutions Workshop Pittsburgh, PA; Nov 28, 2012 HUMAN PRUNING EVALUATION
IEEE RAS Ag Robotics and Automation Webinar May 6, 2013 WOOD REMOVAL BY WORKERS WOOD REMOVAL BY WORKERS
Interaction with Horticulturists and In Addition Growers
IEEE RAS Ag Robotics and Automation Webinar May 6, 2013 OUTCOME Pruning is quite subjective; but some Pruning is quite subjective; but some common guidelines can be formulated!! Two Guidelines • Remove long branches Remove long branches • Remove old/large branches • Remove closely spaced branches • Remove overlapping branches
IEEE RAS Ag Robotics and Automation Webinar May 6, 2013 Pruning Branch ID: Functional Block Diagram I Image Image I Skeleton Sk l Skeletonization Acquisition Preprocessing Analysis
IEEE RAS Ag Robotics and Automation Webinar May 6, 2013 IMAGE ACQUISITION 3D Camera Pan-Tilt System
IEEE RAS Ag Robotics and Automation Webinar May 6, 2013 PREPROCESSING Noise Filtering Stitching
IEEE RAS Ag Robotics and Automation Webinar May 6, 2013 SKELETONIZATION SKELETONIZATION
IEEE RAS Ag Robotics and Automation Webinar May 6, 2013 PRUNING BRANCH IDENTIFICATION Remove Remove • Long branches • Closely spaced Closely spaced branches
IEEE RAS Ag Robotics and Automation Webinar May 6, 2013 SUMMARY Based on branch length and spacing criteria • Achieved 86% accuracy in identifying pruning branches • Percentage wood removal was within 2% of most experience worker Video http://www.youtube.com/watch?v=s12YytfKDU4
Specialty Crop Engineering Solutions Workshop Pittsburgh, PA; Nov 28, 2012 ONGOING AND FUTURE EFFORTS • Pruning Point Localization • Computational Optimization Computational Optimization • End Effector Evaluation • Robotic System Development • Robotic System Development
Thank You Manoj Karkee manoj.karkee@wsu.edu
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