Deep Learning-Based Plant Organ Segmentation and Phenotyping of Sorghum Plants Using LiDAR Point Cloud

Deep Learning-Based Plant Organ Segmentation and Phenotyping of Sorghum Plants Using LiDAR Point Cloud

Increasing food demands, global climatic variations, and population growth have spurred the growth of crop yield driven by plant phenotyping in the age of Big Data. High-throughput phenotyping of sorghum at each plant and organ level is vital in molecular plant breeding to increase crop yield. LiDAR...

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Bibliographic Details
Main Authors: Ajay Kumar Patel, Eun-Sung Park, Hongseok Lee, G. G. Lakshmi Priya, Hangi Kim, Rahul Joshi, Muhammad Akbar Andi Arief, Moon S. Kim, Insuck Baek, Byoung-Kwan Cho
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
3-D point cloud
deep learning
lidar technique
phenotyping
sorghum
Online Access:https://ieeexplore.ieee.org/document/10243159/

Internet

https://ieeexplore.ieee.org/document/10243159/

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