Yuzhen Lu

Works (6)

Updated: May 20th, 2024 08:03

2022 journal article

Hyperspectral Imaging With Machine Learning to Differentiate Cultivars, Growth Stages, Flowers, and Leaves of Industrial Hemp (Cannabis sativa L.)

Frontiers in Plant Science, 12.

By: Y. Lu*, S. Young n , E. Linder n, B. Whipker n  & D. Suchoff n 

author keywords: industrial hemp; classification; hyperspectral imaging; image processing; machine learning
topics (OpenAlex): Spectroscopy and Chemometric Analyses; Seed and Plant Biochemistry; Essential Oils and Antimicrobial Activity
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
16. Peace, Justice and Strong Institutions (OpenAlex)
Sources: Web Of Science, NC State University Libraries, Crossref
Added: February 28, 2022

2022 journal article

Hyperspectral imaging with chemometrics for non-destructive determination of cannabinoids in floral and leaf materials of industrial hemp (Cannabis sativa L.)

Computers and Electronics in Agriculture, 202, 107387.

By: Y. Lu*, X. Li n , S. Young* , X. Li n, E. Linder n & D. Suchoff n 

author keywords: Imaging spectroscopy; Cannabis; Cannabinoids; Quantification; Wavelength selection
topics (OpenAlex): Spectroscopy and Chemometric Analyses; GABA and Rice Research; Phytochemicals and Antioxidant Activities
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries, Crossref
Added: January 3, 2023

2022 article

Robust plant segmentation of color images based on image contrast optimization

Lu, Y., Young, S., Wang, H., & Wijewardane, N. (2022, January 29). Computers and Electronics in Agriculture, Vol. 2.

By: Y. Lu*, S. Young n , H. Wang * & N. Wijewardane *

author keywords: Plant segmentation; Image contrast; Automatic thresholding; Color images; Dataset
topics (OpenAlex): Smart Agriculture and AI; Remote Sensing in Agriculture; Leaf Properties and Growth Measurement
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (OpenAlex)
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: March 7, 2022

2021 article

Hyperspectral Imaging with Cost-Sensitive Learning for High-Throughput Screening of Loblolly Pine (Pinus taeda L.) Seedlings for Freeze Tolerance

Lu, Y., Payn, K. G., Pandey, P., Acosta, J. J., Heine, A. J., Walker, T. D., & Young, S. (2021, January 1). Transactions of the ASABE, Vol. 64, pp. 2045–2059.

By: Y. Lu*, K. Payn* , P. Pandey*, J. Acosta* , A. Heine* , T. Walker* , S. Young* 

author keywords: Cost-sensitive learning; Freeze tolerance; Hyperspectral imaging; Plant phenotyping; Support vector machine
topics (OpenAlex): Plant Physiology and Cultivation Studies; Greenhouse Technology and Climate Control; Remote Sensing in Agriculture
TL;DR: It is demonstrated that hyperspectral imaging can provide tree breeders with a valuable tool for improved efficiency and objectivity in the characterization and screening of freeze tolerance for loblolly pine. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
13. Climate Action (Web of Science)
15. Life on Land (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: January 7, 2022

2021 article

Prediction of Freeze Damage and Minimum Winter Temperature of the Seed Source of Loblolly Pine Seedlings Using Hyperspectral Imaging

Lu, Y., Walker, T. D., Acosta, J. J., Young, S., Pandey, P., Heine, A. J., & Payn, K. G. (2021, April 2). Forest Science, Vol. 67, pp. 321–334.

By: Y. Lu*, T. Walker n , J. Acosta n , S. Young n , P. Pandey n, A. Heine n , K. Payn n 

author keywords: loblolly pine; freeze damage; hyperspectral imaging; predictive modeling; variable selection
topics (OpenAlex): Remote Sensing in Agriculture; Forest ecology and management; Spectroscopy and Chemometric Analyses
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 7, 2021

2020 article

Technology progress in mechanical harvest of fresh market apples

Zhang, Z., Igathinathane, C., Li, J., Cen, H., Lu, Y., & Flores, P. (2020, July 7). Computers and Electronics in Agriculture.

By: Z. Zhang*, C. Igathinathane *, J. Li*, H. Cen*, Y. Lu n & P. Flores *

author keywords: Apple harvest; Shake-and-catch; Infield sorting; Harvest-assist platform; Mechanization; Robots
topics (OpenAlex): Smart Agriculture and AI; Date Palm Research Studies; Plant Virus Research Studies
TL;DR: Reviewing the research and development progress of mechanical harvest technologies for fresh market apples over the past decades with a focus on the predominant technologies of shake-and-catch, robots, and harvest-assist platform methods points out the bottlenecks and future trends. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Source: Web Of Science
Added: August 10, 2020

Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.

Certain data included herein are derived from the Web of Science© and InCites© (2026) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.