A method for detecting tomato canopies’ phenotypic traits based on improved skeleton extraction algorithm-Reference-Cited by-同舟云学术

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A method for detecting tomato canopies’ phenotypic traits based on improved skeleton extraction algorithm

Published:2023-11 Issue: Volume:214 Page:108285
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Zhu Tianyu,Ma Xiaodan,Guan Haiou,Wu Xia,Wang Feiyi,Yang Chen,Jiang Qiu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference48 articles.

1. Multi-sensor point cloud data fusion for precise 3D mapping;Abdelazeem;Egypt. J. Remote Sens. Space Sci.,2021

2. Design and development of a Low-Cost UGV 3D phenotyping platform with integrated LiDAR and electric slide rail;Cai;Plants,2023

3. Geometric wheat modeling and quantitative plant architecture analysis using three-dimensional phytomers;Chang;Plants,2023

4. Skeletons of 3D surfaces based on the Laplace-Beltrami operator eigenfunctions;Escalona-Buendia;Appl. Math.,2015

5. Arbuscular mycorrhizal fungi and fertilization influence yield, growth and root colonization of different tomato genotype;Felföldi;Plants,2022

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2. Extraction of Corn Plant Phenotypic Parameters with Keypoint Detection and Stereo Images;Agronomy;2024-05-23

3. A method for calculating and simulating phenotype of soybean based on 3D reconstruction;European Journal of Agronomy;2024-03

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