2024
DOI: 10.3390/s24061998
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Crop Leaf Phenotypic Parameter Measurement Based on the RKM-D Point Cloud Method

Weiyi Mu,
Yuanxin Li,
Mingjiang Deng
et al.

Abstract: Crop leaf length, perimeter, and area serve as vital phenotypic indicators of crop growth status, the measurement of which is important for crop monitoring and yield estimation. However, processing a leaf point cloud is often challenging due to cluttered, fluctuating, and uncertain points, which culminate in inaccurate measurements of leaf phenotypic parameters. To tackle this issue, the RKM-D point cloud method for measuring leaf phenotypic parameters is proposed, which is based on the fusion of improved Rand… Show more

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