Dynamic geospatial modeling of mycotoxin contamination of corn in Illinois: unveiling critical factors and predictive insights with machine learning

Mycotoxin contamination of corn is a pervasive problem that negatively impacts human and animal health and causes economic losses to the agricultural industry worldwide. Historical aflatoxin (AFL) and fumonisin (FUM) mycotoxin contamination data of corn, daily weather data, satellite data, dynamic g...

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Detalles Bibliográficos
Autores principales: Castano-Duque, Lina, Winzeler, Edwin, Blackstock, Joshua M., Liu, Cheng, Vergopolan, Noemi, Focker, Marlous, Barnett, Kristin, Owens, Phillip Ray, van der Fels-Klerx, H. J., Vaughan, Martha M., Rajasekaran, Kanniah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646420/
https://www.ncbi.nlm.nih.gov/pubmed/38029202
http://dx.doi.org/10.3389/fmicb.2023.1283127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646420/
https://www.ncbi.nlm.nih.gov/pubmed/38029202
http://dx.doi.org/10.3389/fmicb.2023.1283127

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