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Optimizing herbicide reduction: A simulation approach using Artificial Intelligence and different nozzle configurations.

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Title: Optimizing herbicide reduction: A simulation approach using Artificial Intelligence and different nozzle configurations.
Authors: Furlanetto, Renato H.1, re.herrigfurlane@ufl.edu, Buzanini, Ana C.1, ana.buzanini@ufl.edu, Schumann, Arnold W.2, schumaw@ufl.edu, Boyd, Nathan S.1, nsboyd@ufl.edu
Source: Artificial Intelligence in Agriculture; Mar2026, Vol. 16 Issue 1, p592-602, 11p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 192236441
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Artificial+Intelligence+in+Agriculture%22">Artificial Intelligence in Agriculture</searchLink>; Mar2026, Vol. 16 Issue 1, p592-602, 11p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192236441
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      – Type: doi
        Value: 10.1016/j.aiia.2025.11.011
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 592
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      – TitleFull: Optimizing herbicide reduction: A simulation approach using Artificial Intelligence and different nozzle configurations.
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            NameFull: Furlanetto, Renato H.
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            NameFull: Buzanini, Ana C.
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            NameFull: Schumann, Arnold W.
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              Text: Mar2026
              Type: published
              Y: 2026
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