AgriAgent: A Multi-Agent Agentic AI System for End-to-End Fruit Disease Detection, Edibility Evaluation, and Treatment Recommendation from Leaf and Fruit Imagery.
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| Title: | AgriAgent: A Multi-Agent Agentic AI System for End-to-End Fruit Disease Detection, Edibility Evaluation, and Treatment Recommendation from Leaf and Fruit Imagery. |
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| Authors: | Patil, Sushant1, Tupe, Mahesh1, Udmale, Pranav1, Ekatpure, Siddharth1, Jadhav, Sarika1, Bahir, Suvarna1 |
| Source: | International Scientific Journal of Engineering & Management. Jun2026, Vol. 5 Issue 6, p1-8. 8p. |
| Database: | Business Source Ultimate |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=195396265 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.55041/ISJEM08074 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 8 StartPage: 1 Titles: – TitleFull: AgriAgent: A Multi-Agent Agentic AI System for End-to-End Fruit Disease Detection, Edibility Evaluation, and Treatment Recommendation from Leaf and Fruit Imagery. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Patil, Sushant – PersonEntity: Name: NameFull: Tupe, Mahesh – PersonEntity: Name: NameFull: Udmale, Pranav – PersonEntity: Name: NameFull: Ekatpure, Siddharth – PersonEntity: Name: NameFull: Jadhav, Sarika – PersonEntity: Name: NameFull: Bahir, Suvarna IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 25836129 Numbering: – Type: volume Value: 5 – Type: issue Value: 6 Titles: – TitleFull: International Scientific Journal of Engineering & Management Type: main |
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