Molecular and machine learning approaches to study the impact of climatic factors on the evolution of cranberry fruit rot

Molecular and machine learning approaches to study the impact of climatic factors on the evolution of cranberry fruit rot

IntroductionCranberry (Vaccinium macrocarpon) is an important crop grown in the United States and Canada, with the province of Québec being the world’s largest producer of organic cranberry. However, cranberry fruit rot (CFR), caused by 12 fungal species, has become a major issue affecting yield.Me...

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Bibliographic Details
Main Authors: Khadijeh Aghel, Benjamin Cinget, Matteo Conti, Caroline Labbé, Richard R. Bélanger
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-12-01
Series:Frontiers in Agronomy
Subjects:
Vaccinium macrocarpon
small fruits
pathogen detection
fungicides
climatic factors
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fagro.2023.1235218/full

Internet

https://www.frontiersin.org/articles/10.3389/fagro.2023.1235218/full

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