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...

詳細記述

書誌詳細

主要な著者:	Nikolaos Arvanitis, Filippo Graziosi, Gina Athanasiou, Antonia Terpou, Olga Arvaniti, Theodore Zahariadis
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-06-01
シリーズ:	AgriEngineering
主題:	downy mildew powdery mildew grapevine disease prediction TabPFN transformer XGBoost
オンライン･アクセス:	https://www.mdpi.com/2624-7402/7/6/173
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!