Weather-driven epidemiology and forecasting of Myrothecium leaf spot in coffee seedlings: machine learning approach for predicting the disease

Myrothecium leaf spot, caused by Myrothecium roridum, is an emerging disease threat to coffee (Coffea arabica L. cv. Chandragiri) nurseries, resulting up to 30% seedling loss and occasionally affecting young field transplants. Although M. roridum was historically considered a weak pathogen, recent i...

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Detaylı Bibliyografya
Asıl Yazarlar:	A. P. Ranjini, Santoshreddy Machenahalli, Somashekhargouda Patil, Madhu S. Giri, Raja Naika, Soundara Rajan, C. Babou, M. Senthilkumar
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Frontiers Media S.A. 2026-06-01
Seri Bilgileri:	Frontiers in Climate
Konular:	climate variability coffee seedlings early warning systems forecasting models Myrothecium leaf spot plant disease
Online Erişim:	https://www.frontiersin.org/articles/10.3389/fclim.2026.1733203/full
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Weather-driven epidemiology and forecasting of Myrothecium leaf spot in coffee seedlings: machine learning approach for predicting the disease

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