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Journal: Sensors, 2022
Volume: 22
Number: 7063

Article: Importance of Meteorological Parameters and Airborne Conidia to Predict Risk of Alternaria on a Potato Crop Ambient Using Machine Learning Algorithms
Authors: by Laura Meno, Olga Escuredo, Isaac Kwesi Abuley and María Carmen Seijo
Link: https://www.mdpi.com/1424-8220/22/18/7063

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