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.
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
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22International+Scientific+Journal+of+Engineering+%26+Management%22">International Scientific Journal of Engineering & Management</searchLink>. Jun2026, Vol. 5 Issue 6, p1-8. 8p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=195396265
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        Value: 10.55041/ISJEM08074
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        Text: English
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      – 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.
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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