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פותח על ידי קלירמאש פתרונות בע"מ -
Study on fruit visibility for robotic harvesting
Year:
2007
Authors :
אלחנתי, ויקטור
;
.
Volume :
8 BOOK
Co-Authors:
Bulanon, D.M., Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL 32611, United States
Burks, T.F., Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL 32611, United States
Alchanatis, V., ARO-The Volcani Center, Bet Dagan, Israel
Facilitators :
From page:
To page:
(
Total pages:
1
)
Abstract:
One of the major challenges in developing a machine vision system for robotic fruit harvesting is fruit visibility. Fruit trees such as oranges have a dense canopy, which can often result in partial or complete occlusion. This paper discusses improved visibility of oranges using multiple viewing angles. Fruit visibility was defined as the ratio of the number of fruits recognized in the image to the total number of fruits inside the region of interest, which was a section of tree canopy enclosed by a bounding box. Multiple images of the region of interest from different viewing angles were acquired and analyzed. Results from both manual and automatic recognition approaches showed 90% and 87% fruit visibility respectively. These levels are a significant improvement over earlier reports in literature which ranged from 65 to 80%.
Note:
Related Files :
computer vision
Fruits
fruit trees
Fruit visibility
harvesting
Intelligent robots
Machine vision
Object recognition
Robotic harvesting
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר מתוך כינוס
;
.
Language:
אנגלית
Editors' remarks:
ID:
25874
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:18
Scientific Publication
Study on fruit visibility for robotic harvesting
8 BOOK
Bulanon, D.M., Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL 32611, United States
Burks, T.F., Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL 32611, United States
Alchanatis, V., ARO-The Volcani Center, Bet Dagan, Israel
Study on fruit visibility for robotic harvesting
One of the major challenges in developing a machine vision system for robotic fruit harvesting is fruit visibility. Fruit trees such as oranges have a dense canopy, which can often result in partial or complete occlusion. This paper discusses improved visibility of oranges using multiple viewing angles. Fruit visibility was defined as the ratio of the number of fruits recognized in the image to the total number of fruits inside the region of interest, which was a section of tree canopy enclosed by a bounding box. Multiple images of the region of interest from different viewing angles were acquired and analyzed. Results from both manual and automatic recognition approaches showed 90% and 87% fruit visibility respectively. These levels are a significant improvement over earlier reports in literature which ranged from 65 to 80%.
Scientific Publication
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