Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects

S **, X Sun, F Wu, Y Su, Y Li, S Song, K Xu… - ISPRS Journal of …, 2021 - Elsevier
Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …

How to make sense of 3D representations for plant phenoty**: a compendium of processing and analysis techniques

N Harandi, B Vandenberghe, J Vankerschaver… - Plant Methods, 2023 - Springer
Computer vision technology is moving more and more towards a three-dimensional
approach, and plant phenoty** is following this trend. However, despite its potential, the …

A single plant segmentation method of maize point cloud based on Euclidean clustering and K-means clustering

Y Miao, S Li, L Wang, H Li, R Qiu, M Zhang - Computers and Electronics in …, 2023 - Elsevier
It is very important to study the correlation between phenotypic information and genetic
information of population maize plants for breeding good maize varieties. How to separate …

Three-dimensional reconstruction and phenotype measurement of maize seedlings based on multi-view image sequences

Y Li, J Liu, B Zhang, Y Wang, J Yao, X Zhang… - Frontiers in plant …, 2022 - frontiersin.org
As an important method for crop phenotype quantification, three-dimensional (3D)
reconstruction is of critical importance for exploring the phenotypic characteristics of crops …

EasyIDP: A python package for intermediate data processing in UAV-based plant phenoty**

H Wang, Y Duan, Y Shi, Y Kato, S Ninomiya, W Guo - Remote Sensing, 2021 - mdpi.com
Unmanned aerial vehicle (UAV) and structure from motion (SfM) photogrammetry
techniques are widely used for field-based, high-throughput plant phenoty** nowadays …

RGB camera-based monocular stereo vision applied in plant phenotype: A survey

H Yin, S Luo, J Tang, J Hua - Computers and Electronics in Agriculture, 2024 - Elsevier
Background The breeding of plants with superior traits and the improvement of cultivation
means are two essential ways to achieve yield growth and quality promotion. Phenotype …

Enhancing the tracking of seedling growth using RGB-Depth fusion and deep learning

H Garbouge, P Rasti, D Rousseau - Sensors, 2021 - mdpi.com
The use of high-throughput phenoty** with imaging and machine learning to monitor
seedling growth is a tough yet intriguing subject in plant research. This has been recently …

Three-dimensional point cloud reconstruction and morphology measurement method for greenhouse plants based on the kinect sensor self-calibration

G Sun, X Wang - Agronomy, 2019 - mdpi.com
Plant morphological data are an important basis for precision agriculture and plant
phenomics. The three-dimensional (3D) geometric shape of plants is complex, and the 3D …

Research status and prospects on plant canopy structure measurement using visual sensors based on three-dimensional reconstruction

J Wang, Y Zhang, R Gu - Agriculture, 2020 - mdpi.com
Three-dimensional (3D) plant canopy structure analysis is an important part of plant
phenotype studies. To promote the development of plant canopy structure measurement …

Dynamic detection of three-dimensional crop phenotypes based on a consumer-grade RGB-D camera

P Song, Z Li, M Yang, Y Shao, Z Pu, W Yang… - Frontiers in Plant …, 2023 - frontiersin.org
Introduction Nondestructive detection of crop phenotypic traits in the field is very important
for crop breeding. Ground-based mobile platforms equipped with sensors can efficiently and …