Measurement of Tomato Leaf Area Using Depth Camera

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  • 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

抄録

<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>

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  • 信号処理

    信号処理 26 (4), 123-126, 2022-07-01

    信号処理学会

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