UAV-Based Hyperspectral Imaging Technique to Estimate Canola (Brassica napus L.) Seedpods Maturity-Reference-Cited by-同舟云学术

UAV-Based Hyperspectral Imaging Technique to Estimate Canola (Brassica napus L.) Seedpods Maturity

Published:2021-02-19 Issue: Volume: Page:1-15
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Singh Keshav D.¹²^ORCID,Duddu Hema S. N.¹,Vail Sally³,Parkin Isobel³,Shirtliffe Steve J.¹

Affiliation:

1. Department of Plant Sciences, College of Agriculture and Bioresources, University of Saskatchewan, Saskatoon, Canada

2. Agriculture and Agri-Food Canada, Lethbridge Research and Development Center, Lethbridge, Canada

3. Agriculture and Agri-Food Canada, Saskatoon Research Center, Saskatoon, Canada

Funder

Plant Phenotyping and Imaging Research Center (P2IRC) at the University of Saskatchewan, SK, Canada

Global Institute of Food Security

Canada First Research Excellence Fund

SaskCanola

Agriculture Development Fund

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/07038992.2021.1881464

Reference47 articles.

1. The role of the pod in seed development: strategies for manipulating yield

2. Burglund, D. R., Hanson, B., and Zarnstorff, M. 1999. “Swathing and harvesting canola.” [Online]. Available: https://library.ndsu.edu/ir/bitstream/handle/10365/9159/A1171_1999.pdf?sequence=1

3. Canola Council of Canada. 2018. “Harvest management.” [Online]. Available: https://www.canolacouncil.org/canola-encyclopedia/managing-harvest/harvest-management/

4. Evaluation of the Causes of On-Farm Harvest Losses in Canola in the Northern Great Plains

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Normalized Difference Red-NIR-SWIR: A new Sentinel-2 three-band spectral index for mapping freshly-opened swiddens in the tropics;Ecological Informatics;2024-09

2. Imaging Hyperspectral Feature Fusion for Estimation of Rapeseed Pod’s Water Content and Recognition of Pod’s Maturity Level;Mathematics;2024-05-29

3. UAV image acquisition and processing for high‐throughput phenotyping in agricultural research and breeding programs;The Plant Phenome Journal;2024-02-19

4. Maturity Classification of Rapeseed Using Hyperspectral Image Combined with Machine Learning;Plant Phenomics;2024-01

5. Influence of the operating parameters of an unmanned pine seeding system on the final seeding uniformity;Industrial Crops and Products;2023-12