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TOMMicroNet: Convolutional Neural Networks for Smartphone-Based Microscopic Detection of Tomato Biotic and Abiotic Plant Health Issues.

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Title: TOMMicroNet: Convolutional Neural Networks for Smartphone-Based Microscopic Detection of Tomato Biotic and Abiotic Plant Health Issues.
Authors: Sentil, Sruthi1,2, Choudhary, Manoj1,2, Tirsaiwala, Mubin3, Rvs, Sandeep3, Suresh, Vignesh Mahalingam3, Jacob, Chacko3, Paret, Mathews1,2 paret@ufl.edu
Source: Phytopathology. Nov2024, Vol. 114 Issue 11, p2431-2441. 11p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 182174669
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: TOMMicroNet: Convolutional Neural Networks for Smartphone-Based Microscopic Detection of Tomato Biotic and Abiotic Plant Health Issues.
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  Data: <searchLink fieldCode="JN" term="%22Phytopathology%22">Phytopathology</searchLink>. Nov2024, Vol. 114 Issue 11, p2431-2441. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=182174669
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      – Type: doi
        Value: 10.1094/PHYTO-04-23-0123-R
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      – Code: eng
        Text: English
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        StartPage: 2431
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      – TitleFull: TOMMicroNet: Convolutional Neural Networks for Smartphone-Based Microscopic Detection of Tomato Biotic and Abiotic Plant Health Issues.
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              M: 11
              Text: Nov2024
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              Y: 2024
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