Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum).
Saved in:
| Title: | Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum). |
|---|---|
| Authors: | Thinakaran, Rajermani1 (AUTHOR), Korkmaz, Ecenur2 (AUTHOR), Ünver, Başak2 (AUTHOR), Ali, Seyid Amjad3 (AUTHOR), Iqbal, Zeshan4 (AUTHOR), Aasim, Muhammad5 (AUTHOR) mshazim@gmail.com |
| Source: | PLoS ONE. 6/24/2025, Vol. 20 Issue 6, p1-18. 18p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: asn DbLabel: Academic Search Ultimate An: 186139495 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum). – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Thinakaran%2C+Rajermani%22">Thinakaran, Rajermani</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Korkmaz%2C+Ecenur%22">Korkmaz, Ecenur</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ünver%2C+Başak%22">Ünver, Başak</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ali%2C+Seyid+Amjad%22">Ali, Seyid Amjad</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Iqbal%2C+Zeshan%22">Iqbal, Zeshan</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aasim%2C+Muhammad%22">Aasim, Muhammad</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> mshazim@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 6/24/2025, Vol. 20 Issue 6, p1-18. 18p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186139495 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0325754 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 18 StartPage: 1 Titles: – TitleFull: Synergistic application of artificial intelligence and response surface methodology for predicting and enhancing in vitro tuber production of potato (Solanum tuberosum). Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thinakaran, Rajermani – PersonEntity: Name: NameFull: Korkmaz, Ecenur – PersonEntity: Name: NameFull: Ünver, Başak – PersonEntity: Name: NameFull: Ali, Seyid Amjad – PersonEntity: Name: NameFull: Iqbal, Zeshan – PersonEntity: Name: NameFull: Aasim, Muhammad IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 06 Text: 6/24/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 20 – Type: issue Value: 6 Titles: – TitleFull: PLoS ONE Type: main |
| ResultId | 1 |