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METHOD AND SYSTEM FOR LEAF AGE ESTIMATION BASED ON MORPHOLOGICAL FEATURES EXTRACTED FROM SEGMENTED LEAVES

机译:基于分割叶片形态特征的叶龄估计方法与系统

摘要

This disclosure relates generally to estimating age of a leaf using morphological features extracted from segmented leaves. Traditionally, leaf age estimation requires a single leaf to be plucked from the plant and its image to be captured in a controlled environment. The method and system of the present disclosure obviates these needs and enables obtaining one or more full leaves from images captured in an uncontrolled environment. The method comprises segmenting the image to identify veins of the leaves that further enable obtaining the full leaves. The obtained leaves further enable identifying an associated plant species. The method also discloses some morphological features which are fed to a pre-trained multivariable linear regression model to estimate age of every leaf. The estimated leaf age finds application in estimation of multiple plant characteristics like photosynthetic rate, transpiration, nitrogen content and health of the plants.
机译:本发明一般涉及使用从分割叶中提取的形态特征来估计叶的年龄。传统上,叶龄估计需要从植物上摘下一片叶子,并在受控环境中捕捉其图像。本发明的方法和系统消除了这些需求,并且能够从在非受控环境中捕获的图像中获得一个或多个完整的叶子。该方法包括分割图像以识别叶脉,从而进一步能够获得完整的叶脉。获得的叶子进一步能够识别相关的植物物种。该方法还公开了一些形态特征,这些特征被输入预先训练好的多变量线性回归模型,以估计每个叶片的年龄。估计的叶龄可用于估计多种植物特性,如光合速率、蒸腾作用、氮含量和植物健康状况。

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