Piyush Pandey

Works (5)

Updated: November 4th, 2024 08:52

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* 

author keywords: Imaging spectroscopy; Nutrient prediction; Hydroponic culture; Salanova green
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
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 

author keywords: lettuce; nutrient rates; fertility; nitrogen; phosphorus; potassium; calcium; magnesium; sulfur
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
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
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 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 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 

author keywords: plant imaging; computer vision; forestry; disease discrimination; hyperspectral imaging; plant phenotyping; machine learning
TL;DR: This study investigates the use of hyperspectral imaging for the detection of diseased seedlings in loblolly pine using artificial inoculation of seedlings and spectral data from the top half of the stem to build a classification model. (via Semantic Scholar)
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: 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 

author keywords: loblolly pine; freeze damage; hyperspectral imaging; predictive modeling; variable selection
UN Sustainable Development Goal Categories
2. Zero Hunger (Web of Science)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: April 7, 2021

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