Abstract

Leaf is an important organ for photosynthesis and transpiration associated with the plants’ growth. Through the study of leaf phenotype, it the physiological characteristics produced by the interaction of the morphological parameters with the environment can be understood. In order to realize the assessment of the spatial morphology of leaves, a method based on three-dimensional stereo vision was introduced to extract the shape information, including the length and width of the leaves. Firstly, a depth sensor was used to collect the point cloud of plant leaves. Then, the leaf coordinate system was adjusted by principal component analysis to extract the region of interest; and compared with a cross-sectional method, the geodesic distance method, we proposed a method based on the cutting plane to obtain the intersecting line of the three-dimensional leaf model. Eggplant leaves were used to compare the accuracy of these methods in the measurement of a single leaf.

Highlights

  • Leaf is the main organ of plants for photosynthesis and transpiration, and plant growth information is closely related to leaf parameters

  • Plant growth information is closely related to leaf parameters, which is of great significance for high efficiency and yield

  • Leaf parameters have a profound impact on activities such as plant growth and development, so scientifically determining leaf parameters is of great significance [1]

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Summary

Introduction

Leaf is the main organ of plants for photosynthesis and transpiration, and plant growth information is closely related to leaf parameters. Plant growth information is closely related to leaf parameters, which is of great significance for high efficiency and yield. Leaf parameters have a profound impact on activities such as plant growth and development, so scientifically determining leaf parameters is of great significance [1]. Leaf shape parameters such as leaf area, thickness, length, width, and leaf shape index are important indicators for evaluating the impact of plant environmental factors. Compared with the manual measurement of leaf parameter measurement technology, automatic measurement has the advantages of fast speed, high precision and real-time performance, which greatly improves the efficiency of leaf parameters measurement

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