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Non-destructive Estimation of Rice Leaf Area by Leaf Length and Width Measurements

L. S. Chen, N. Yang, K. Wang

Abstract


The predictive regression models were used to estimate leaf area of rice with leaf length (L) and leaf width (W) measurements. Rice leaves under P (phosphorus)-deficiency and normal nutrition treatment were selected as the test samples to ensure the adaptability of the equation. Rice leaves were collected regularly in the greenhouse of Zhejiang University, Hangzhou, China. Leaf images were scanned with EPSON GT20000. The regionprops function of MATLAB was used to calculate leaf dimensions.

Keywords


Rice Leaf Area, Leaf Image, Non-destructive Estimation.

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