Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling

High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Lin, Meng-Yang, Tuinstra, Mitchell
Format: Dataset
Sprache:eng
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Lin, Meng-Yang
Tuinstra, Mitchell
description High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.
doi_str_mv 10.4231/fphp-0153
format Dataset
fullrecord <record><control><sourceid>datacite_PQ8</sourceid><recordid>TN_cdi_datacite_primary_10_4231_fphp_0153</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_4231_fphp_0153</sourcerecordid><originalsourceid>FETCH-datacite_primary_10_4231_fphp_01533</originalsourceid><addsrcrecordid>eNqVzrEKwjAUBdAsDqIO_kFWh2hi9QtE6VIo2D2E5LV9EJuQPJH-vUb8Aac73HvhMLZVcn86VurQxzEKqc7VkjXN0xOKewSLkHmbwKElDBMPPW_HOWPwYUBrPO-SQcr8hTTyeo6Qvi9Kn6oJDjxOw5oteuMzbH65YrvbtbvUwhkyFgl0TPgwadZK6kLRhaILpfpn-wbscEE_</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>dataset</recordtype></control><display><type>dataset</type><title>Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling</title><source>DataCite</source><creator>Lin, Meng-Yang ; Tuinstra, Mitchell</creator><creatorcontrib>Lin, Meng-Yang ; Tuinstra, Mitchell</creatorcontrib><description>High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.</description><identifier>DOI: 10.4231/fphp-0153</identifier><language>eng</language><publisher>Purdue University Research Repository</publisher><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>780,1894</link.rule.ids><linktorsrc>$$Uhttps://commons.datacite.org/doi.org/10.4231/fphp-0153$$EView_record_in_DataCite.org$$FView_record_in_$$GDataCite.org$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Lin, Meng-Yang</creatorcontrib><creatorcontrib>Tuinstra, Mitchell</creatorcontrib><title>Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling</title><description>High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.</description><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2022</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNqVzrEKwjAUBdAsDqIO_kFWh2hi9QtE6VIo2D2E5LV9EJuQPJH-vUb8Aac73HvhMLZVcn86VurQxzEKqc7VkjXN0xOKewSLkHmbwKElDBMPPW_HOWPwYUBrPO-SQcr8hTTyeo6Qvi9Kn6oJDjxOw5oteuMzbH65YrvbtbvUwhkyFgl0TPgwadZK6kLRhaILpfpn-wbscEE_</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Lin, Meng-Yang</creator><creator>Tuinstra, Mitchell</creator><general>Purdue University Research Repository</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>2022</creationdate><title>Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling</title><author>Lin, Meng-Yang ; Tuinstra, Mitchell</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_4231_fphp_01533</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Lin, Meng-Yang</creatorcontrib><creatorcontrib>Tuinstra, Mitchell</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lin, Meng-Yang</au><au>Tuinstra, Mitchell</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling</title><date>2022</date><risdate>2022</risdate><abstract>High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.</abstract><pub>Purdue University Research Repository</pub><doi>10.4231/fphp-0153</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.4231/fphp-0153
ispartof
issn
language eng
recordid cdi_datacite_primary_10_4231_fphp_0153
source DataCite
title Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T01%3A24%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-datacite_PQ8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.au=Lin,%20Meng-Yang&rft.date=2022&rft_id=info:doi/10.4231/fphp-0153&rft_dat=%3Cdatacite_PQ8%3E10_4231_fphp_0153%3C/datacite_PQ8%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true