Measurement of Tomato Leaf Area Using Depth Camera
-
- Maeda Nozomi
- Graduate School of Sciences and Technology for Innovation, Tokushima University
-
- Suzuki Hiroshi
- Graduate School of Sciences and Technology for Innovation, Tokushima University
-
- Kitajima Takahiro
- Graduate School of Sciences and Technology for Innovation, Tokushima University
-
- Kuwahara Akinobu
- Graduate School of Sciences and Technology for Innovation, Tokushima University
-
- Yasuno Takashi
- Graduate School of Sciences and Technology for Innovation, Tokushima University
Abstract
<p>We describe a leaf region detection and leaf area calculation algorithm for estimating the growing conditions of small tomatoes. In leaf region detection, a color image taken by a depth camera is analyzed by image processing. The leaf region is divided into more than one hundred quadrangle meshs, and the spatial coordinates of the vertices of the mesh are calculated from the depth information obtained by the depth camera. To reduce the effect of measurement noise, an approximate surface expressed by a two-variable quadratic function is obtained, and the leaf area is calculated as the sum of the area of the meshs on the approximate surface. In the experiment, the algorithm will be evaluated using leaf measurements of small tomatoes in a greenhouse.</p>
Journal
-
- Journal of Signal Processing
-
Journal of Signal Processing 26 (4), 123-126, 2022-07-01
Research Institute of Signal Processing, Japan
- Tweet
Details 詳細情報について
-
- CRID
- 1390855533654458624
-
- ISSN
- 18801013
- 13426230
-
- Text Lang
- en
-
- Data Source
-
- JaLC
- IRDB
- Crossref
-
- Abstract License Flag
- Disallowed