Biomass Prediction with 3D Point Clouds from LiDAR-Reference-Cited by-同舟云学术

Biomass Prediction with 3D Point Clouds from LiDAR

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
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Author:

Pan Liyuan¹,Liu Liu²,Condon Anthony G.¹,Estavillo Gonzalo M.¹,Coe Robert A.¹,Bull Geoff¹,Stone Eric A.¹,Petersson Lars³,Rolland Vivien¹

Affiliation:

1. CSIRO A&F

2. ANU

3. CSIRO Data61

Funder

NCR

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9706406/9706408/09706764.pdf?arnumber=9706764

Reference54 articles.

1. In-field High Throughput Phenotyping and Cotton Plant Growth Analysis Using LiDAR

2. Pointnet: Deep learning on point sets for 3d classification and segmentation;qi;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

3. A tractor-mounted scanning LIDAR for the non-destructive measurement of vegetative volume and surface area of tree-row plantations: A comparison with conventional destructive measurements

4. Physiological breeding II: a field guide to wheat phenotyping;pask;CIMMYT,2012

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