Works (5)

Updated: July 11th, 2023 05:02

2023 journal article

Predicting foliar nutrient concentrations and nutrient deficiencies of hydroponic lettuce using hyperspectral imaging

BIOSYSTEMS ENGINEERING, 230, 458–469.

By: P. Pandey n, P. Veazie n, B. Whipker n & S. Young* 

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: Imaging spectroscopy; Nutrient prediction; Hydroponic culture; Salanova green
Source: Web Of Science
Added: July 10, 2023

2022 journal article

Impact of Macronutrient Fertility on Mineral Uptake and Growth of Lactuca sativa 'Salanova Green' in a Hydroponic System

HORTICULTURAE, 8(11).

By: P. Veazie n, P. Pandey n, S. Young n , M. Ballance n, K. Hicks* & B. Whipker n

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: lettuce; nutrient rates; fertility; nitrogen; phosphorus; potassium; calcium; magnesium; sulfur
Sources: Web Of Science, ORCID
Added: November 18, 2022

2021 journal article

HYPERSPECTRAL IMAGING WITH COST-SENSITIVE LEARNING FOR HIGH-THROUGHPUT SCREENING OF LOBLOLLY PINE (PINUS TAEDA L.) SEEDLINGS FOR FREEZE TOLERANCE

TRANSACTIONS OF THE ASABE, 64(6), 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
Sources: Web Of Science, ORCID
Added: January 7, 2022

2021 journal article

Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings

REMOTE SENSING, 13(18).

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

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: plant imaging; computer vision; forestry; disease discrimination; hyperspectral imaging; plant phenotyping; machine learning
Sources: Web Of Science, ORCID
Added: September 11, 2021

2021 journal article

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

FOREST SCIENCE, 67(3), 321–334.

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

co-author countries: United States of America πŸ‡ΊπŸ‡Έ
author keywords: loblolly pine; freeze damage; hyperspectral imaging; predictive modeling; variable selection
Sources: Web Of Science, ORCID
Added: April 7, 2021

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 ScienceΒ© and InCitesΒ© (2024) 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.