A review on rice plant phenotyping traits estimation for disease and growth management using modern ML techniques.
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| Title: | A review on rice plant phenotyping traits estimation for disease and growth management using modern ML techniques. |
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| Authors: | Patel, Bharati1, bpatel.phd2018.cs@nitrr.ac.in, Sharaff, Aakanksha1 |
| Source: | Multimedia Tools & Applications; Apr2024, Vol. 83 Issue 13, p37771-37793, 23p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 176408773 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A review on rice plant phenotyping traits estimation for disease and growth management using modern ML techniques. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Patel%2C+Bharati%22">Patel, Bharati</searchLink><relatesTo>1</relatesTo>, <i>bpatel.phd2018.cs@nitrr.ac.in</i><br /><searchLink fieldCode="AU" term="%22Sharaff%2C+Aakanksha%22">Sharaff, Aakanksha</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>; Apr2024, Vol. 83 Issue 13, p37771-37793, 23p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=176408773 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-023-17098-8 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 37771 Titles: – TitleFull: A review on rice plant phenotyping traits estimation for disease and growth management using modern ML techniques. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Patel, Bharati – PersonEntity: Name: NameFull: Sharaff, Aakanksha IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 04 Text: Apr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 83 – Type: issue Value: 13 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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