Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models

Prediction of aflatoxin contamination outbreaks in Texas corn using mechanistic and machine learning models

Aflatoxins are carcinogenic and mutagenic mycotoxins that contaminate food and feed. The objective of our research is to predict aflatoxin outbreaks in Texas-grown maize using dynamic geospatial data from remote sensing satellites, soil properties data, and meteorological data by an ensemble of mode...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Lina Castano-Duque, Angela Avila, Brian M. Mack, H. Edwin Winzeler, Joshua M. Blackstock, Matthew D. Lebar, Geromy G. Moore, Phillip Ray Owens, Hillary L. Mehl, Jianzhong Su, James Lindsay, Kanniah Rajasekaran
Format: Artikel
Sprache:English
Veröffentlicht: Frontiers Media S.A. 2025-03-01
Schriftenreihe:Frontiers in Microbiology
Schlagworte:
Aspergillus
machine learning
gradient boosting
neural network
aflatoxin
soil
Online Zugang:https://www.frontiersin.org/articles/10.3389/fmicb.2025.1528997/full

Online

https://www.frontiersin.org/articles/10.3389/fmicb.2025.1528997/full

Ähnliche Einträge