Smart detection of leaf wilting by 3D image processing and 2D Fourier transform
Smart detection of leaf wilting by 3D image processing and 2D Fourier transform
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DOI：
10.1016/j.compag.2012.11.005
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发表时间：
2013-01-01
影响因子：
8.3
通讯作者：
Tang, Y.
中科院分区：
文献类型：
--
作者：
Cai, X.;Sun, Y.;Tang, Y.
萎蔫是植物对干旱胁迫反应的一种常见症状。作物萎蔫的早期检测对作物的精确管理具有重要意义。然而，开发可靠的测量技术是具有挑战性的。本研究提出了一种基于激光扫描仪生成的三维（3D）图像的传感方法。根据二维（2D）傅立叶变换（FT）的谱定义叶片萎蔫指数（LWI 2DFT），其中叶片等效于3D空间中的数学表面，并且因此萎蔫过程涉及一系列曲面。为了验证指数LWI 2DFT的有效性，我们将我们的方法应用于西葫芦植物（Cucurbita pepo L.）从土壤中出来后的第17天。实验室实验包括两个阶段，每个阶段10天。从第一阶段测试的三种植物的六片叶子，观察到该指数能够感测西葫芦从轻微萎蔫到严重胁迫水平的胁迫响应。LWI 2DFT与环境温度（T-air）的回归方程为0.814
Wilting is a common symptom in plants responding to drought stress. Early wilting detection is of high importance for crop precision management. However, it is challenging to develop a reliable measurement technology. This study presents a sensing method based on three-dimensional (3D) images that are generated by a laser scanner. A leaf wilting index (LWI2DFT) is defined from the spectrum of a two-dimensional (2D) Fourier transform (FT), in which a leaf is equivalent to a mathematical surface in 3D space, and thus a wilting process refers to a series of the curved surfaces. To verify the effectiveness of the index LWI2DFT, we applied our method to zucchini plants (Cucurbita pepo L.) 17 days after they emerged from the soil. The laboratory experiments included two periods of 10 days each. From six leaves of three plants tested in the first period, it was observed that this index was capable of sensing the stress response of the zucchini from slight wilting to severe stress levels. The regression results between LWI2DFT and ambient temperature (T-air) fitted a linear equation with 0.814