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Canopy Parameter Estimation of Citrus grandis var. Longanyou Based on LiDAR 3D Point Clouds

Remote Sensing · 10 May 2021 · 10.3390/rs13091859

Abstract

The characteristic parameters of Citrus grandis var. Longanyou canopies are important when measuring yield and spraying pesticides. However, the feasibility of the canopy reconstruction method based on point clouds has not been confirmed with these canopies. Therefore, LiDAR point cloud data for C. grandis var. Longanyou were obtained to facilitate the management of groves of this species. Then, a cloth simulation filter and European clustering algorithm were used to realize individual canopy extraction. After calculating canopy height and width, canopy reconstruction and volume calculation were realized using six approaches: by a manual method and using five algorithms based on point clouds (convex hull, CH; convex hull by slices; voxel-based, VB; alpha-shape, AS; alpha-shape by slices, ASBS). ASBS is an innovative algorithm that combines AS with slices optimization, and can best approximate the actual canopy shape. Moreover, the CH algorithm had the shortest run time, and the R2 values of VCH, VVB, VAS, and VASBS algorithms were above 0.87. The volume with the highest accuracy was obtained from the ASBS algorithm, and the CH algorithm had the shortest computation time. In addition, a theoretical but preliminarily system suitable for the calculation of the canopy volume of C. grandis var. Longanyou was developed, which provides a theoretical reference for the efficient and accurate realization of future functional modules such as accurate plant protection, orchard obstacle avoidance, and biomass estimation.

Plant phenotyping relevance

LiDAR点群から柑橘樹冠を抽出・再構成し、高さ・幅・体積を推定する手法を開発・比較検証しており、植物形質取得が研究の中心である。

abstractThen, a cloth simulation filter and European clustering algorithm were used to realize individual canopy extraction.
abstractAfter calculating canopy height and width, canopy reconstruction and volume calculation were realized using six approaches
abstractASBS is an innovative algorithm that combines AS with slices optimization, and can best approximate the actual canopy shape.
abstracta theoretical but preliminarily system suitable for the calculation of the canopy volume of C. grandis var. Longanyou was developed

Code and data availability

The supplied blocks describe LiDAR point cloud collection and canopy volume algorithms (CH, CHBS, VB, AS, ASBS) implemented in MATLAB, but contain no data availability statement, no public dataset deposit, and no author code repository or URL. CloudCompare is only a generic third-party tool used for segmentation, not a

No evidence-backed public reproduction asset is currently recorded.

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