Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Gradient boosting and bayesian network machine learning models predict aflatoxin and fumonisin contamination of maize in Illinois – First USA case study
por: Castano-Duque, Lina, et al.
Publicado: (2022) -
Mycotoxins in wheat cultivated in the Netherlands: results from eight years of field surveys
por: Van der Fels-Klerx, H.J., et al.
Publicado: (2021) -
Gradient boosting machine learning model to predict aflatoxins in Iowa corn
por: Branstad-Spates, Emily H., et al.
Publicado: (2023) -
Quantitative Modeling of Climate Change Impacts on Mycotoxins in Cereals: A Review
por: Liu, Cheng, et al.
Publicado: (2021) -
Effects of Climate Change on Areas Suitable for Maize Cultivation and Aflatoxin Contamination in Europe
por: Focker, Marlous, et al.
Publicado: (2023)