Utilizing TabPFN Transformer with IoT Environmental Data for Early Prediction of Grapevine Diseases

Utilizing TabPFN Transformer with IoT Environmental Data for Early Prediction of Grapevine Diseases

Downy mildew and powdery mildew are among the most serious diseases that affect grapevine. They can cause severe damage, such as yield loss, and affect the size of the grapes and their ability to accumulate sugars, affecting the flavor and aroma negatively and increasing the need for fungicidal spra...

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Bibliographic Details
Main Authors: Nikolaos Arvanitis, Filippo Graziosi, Gina Athanasiou, Antonia Terpou, Olga Arvaniti, Theodore Zahariadis
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:AgriEngineering
Subjects:
downy mildew
powdery mildew
grapevine disease
prediction
TabPFN transformer
XGBoost
Online Access:https://www.mdpi.com/2624-7402/7/6/173
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