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A Comparative Evaluation of Greek Fig Cultivars Utilizing Instrumental Analytical Methodologies, In Silico Studies and Machine Learning Prediction.

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Title: A Comparative Evaluation of Greek Fig Cultivars Utilizing Instrumental Analytical Methodologies, In Silico Studies and Machine Learning Prediction.
Authors: Christodoulou, Paris1, Stefanaki, Ioanna1,2, Aouant, Konstantinos1, Ladika, Georgia1,2, Tsiokou, Marina2, Cavouras, Dionisis2, Kritsi, Eftichia1, ekritsi@uniwa.gr, Sinanoglou, Vassilia J.1
Source: Applied Sciences (2076-3417); Jan2026, Vol. 16 Issue 1, p538, 20p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190819859
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A Comparative Evaluation of Greek Fig Cultivars Utilizing Instrumental Analytical Methodologies, In Silico Studies and Machine Learning Prediction.
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        Value: 10.3390/app16010538
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      – Code: eng
        Text: English
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        StartPage: 538
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      – TitleFull: A Comparative Evaluation of Greek Fig Cultivars Utilizing Instrumental Analytical Methodologies, In Silico Studies and Machine Learning Prediction.
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              Text: Jan2026
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