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Fruit Detectability Analysis for Different Camera Positions in Sweet-Pepper
- Source :
- Sensors (Basel, Switzerland), Sensors; Volume 14; Issue 4; Pages: 6032-6044, Sensors, 14(4), 6032-6044, Sensors 14 (2014) 4, Sensors, Vol 14, Iss 4, Pp 6032-6044 (2014)
- Publication Year :
- 2014
- Publisher :
- MDPI AG, 2014.
-
Abstract
- For robotic harvesting of sweet-pepper fruits in greenhouses a sensor system is required to detect and localize the fruits on the plants. Due to the complex structure of the plant, most fruits are (partially) occluded when an image is taken from one viewpoint only. In this research the effect of multiple camera positions and viewing angles on fruit visibility and detectability was investigated. A recording device was built which allowed to place the camera under different azimuth and zenith angles and to move the camera horizontally along the crop row. Fourteen camera positions were chosen and the fruit visibility in the recorded images was manually determined for each position. For images taken from one position only with the criterion of maximum 50% occlusion per fruit, the fruit detectability (FD) was in no case higher than 69%. The best single positions were the front views and looking with a zenith angle of 60° upwards. The FD increased when a combination was made of multiple viewpoint positions. With a combination of five favourite positions the maximum FD was 90%.
- Subjects :
- Crops, Agricultural
0209 industrial biotechnology
Farm Technology
Image processing
occlusion
02 engineering and technology
lcsh:Chemical technology
Biochemistry
Article
Analytical Chemistry
020901 industrial engineering & automation
Optics
Pepper
Image Processing, Computer-Assisted
Photography
Life Science
lcsh:TP1-1185
Computer vision
Electrical and Electronic Engineering
Visibility
Instrumentation
Zenith
Mathematics
robotics
Sensor system
sweet-pepper
business.industry
view
robot
04 agricultural and veterinary sciences
harvesting
PE&RC
WUR GTB Gewasfysiologie Management en Model
fruit visibility
Multiple viewpoint
Atomic and Molecular Physics, and Optics
Onderwijsinstituut
Azimuth
Fruit
GTB Tuinbouw Technologie
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Agrarische Bedrijfstechnologie
Artificial intelligence
Capsicum
business
Subjects
Details
- ISSN :
- 14248220
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....6beb738098aa922438e2e6bf9eb52366
- Full Text :
- https://doi.org/10.3390/s140406032