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Early Prediction of Regional Red Needle Cast Outbreaks Using Climatic Data Trends and Satellite-Derived Observations

Red needle cast (RNC), mainly caused by <i>Phytophthora pluvialis</i>, is a very damaging disease of the widely grown species radiata pine within New Zealand. Using a combination of satellite imagery and weather data, a novel methodology was developed to pre-visually predict the incidence of RNC on...

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Автори: Michael S. Watt, Andrew Holdaway, Pete Watt, Grant D. Pearse, Melanie E. Palmer, Benjamin S. C. Steer, Nicolò Camarretta, Emily McLay, Stuart Fraser
Формат: Artigo
Мова:Inglês
Опубліковано: MDPI AG 2024-04-01
Серія:Remote Sensing
Предмети:
early detection
disease forecast
disease prediction
epidemiology
forest monitoring
machine learning
Онлайн доступ:https://www.mdpi.com/2072-4292/16/8/1401
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