3D-based precise evaluation pipeline for maize ear rot using multi-view stereo reconstruction and point cloud semantic segmentation-Reference-Cited by-同舟云学术

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3D-based precise evaluation pipeline for maize ear rot using multi-view stereo reconstruction and point cloud semantic segmentation

Published:2024-01 Issue: Volume:216 Page:108512
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Yang Rui,He Yong,Lu Xiangyu,Zhao Yiying,Li Yanmei,Yang Yinhui,Kong Wenwen,Liu Fei

Publisher

Elsevier BV

Subject

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

Reference39 articles.

1. Field-based architectural traits characterisation of maize plant using time-of-flight 3D imaging;Bao;Biosyst. Eng.,2019

2. Recent advances and perspectives in deep learning techniques for 3D point cloud data processing;Ding;Robotics,2023

3. Field inoculation and classification of maize ear rot caused by Fusarium verticillioides;Dong;Bio Protoc.,2018

4. PST: Plant segmentation transformer for 3D point clouds of rapeseed plants at the podding stage;Du;Isprs J. Photogramm.,2023

5. Comprehensive review of deep learning-based 3D point cloud completion processing and analysis;Fei;IEEE Trans. Intell. Transport. Syst.,2022

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