Abstract
Plant phenotyping is an emerging science that links genomics with functional plant characteristics. The recent availability of extremely fast high-throughput genotyping technologies has invoked high-throughput phenotyping to become a major bottleneck in the plant breeding programs. As a consequence new camera-based technologies to relieve the phenotyping bottleneck attract considerable attention. Whereas most plant phenotyping technologies are based on the approach to bring the plants to the image recording device, our system brings the camera-system to the plants creating great flexibility on observing plants under practical growing conditions. A new camera, based on lightfield technology was used for image recording. This single lens 3D camera is constructed by placing a micro lens array in front of the image sensor. This also allows the user to change the focus and the point of view after a picture has been taken. While the concept of such plenoptic cameras is known since 1908, only recently the increased computing power of low-cost hardware and the advances in micro lens array production, have made the application of plenoptic cameras feasible. Since this camera outputs a pixel to pixel registered color image and depth map, it solves limitations of common used techniques such as stereo vision and time of flight. During the summer of 2013 an experiment is carried out in a commercial tomato greenhouse in the Netherlands. In this paper first preliminary results are presented and the performance of lightfield technology for plant phenotyping is discussed.
Original language | English |
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Title of host publication | Proceedings of the 2014 ASABE and CSBE/SCGAB Annual International Meeting |
Publisher | ASABE |
Pages | 153-159 |
Volume | 1 |
ISBN (Print) | 9781632668455 |
Publication status | Published - 2014 |
Event | 2014 ASABE and CSBE/SCGAB Annual International Meeting, Montreal, Quebec Canada - Duration: 13 Jul 2014 → 16 Jul 2014 |
Conference
Conference | 2014 ASABE and CSBE/SCGAB Annual International Meeting, Montreal, Quebec Canada |
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Period | 13/07/14 → 16/07/14 |
Keywords
- 3D Imaging
- Greenhouse Crops
- Machine Vision
- Plenoptic Camera
- Robotics
- Tomatoes