Gradient boosting and bayesian network machine learning models predict aflatoxin and fumonisin contamination of maize in Illinois – First USA case study
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2022.1039947
Abstract: Mycotoxin contamination of corn results in significant agroeconomic losses and poses serious health issues worldwide. This paper presents the first report utilizing machine learning and historical aflatoxin and fumonisin contamination levels in-order-to develop models that… read more here.
Keywords: corn; contamination; aflatoxin fumonisin; fumonisin contamination ... See more keywords
Assessment of Aflatoxin and Fumonisin Contamination and Associated Risk Factors in Feed and Feed Ingredients in Rwanda
Sign Up to like & getrecommendations! Published in 2019 at "Toxins"
DOI: 10.3390/toxins11050270
Abstract: Mycotoxins are fungal metabolites that contaminate crops, food, and animal feeds. Aflatoxins and fumonisins are among the mycotoxins that have been increasingly reported to affect health and productivity of livestock globally. Given that the health… read more here.
Keywords: contamination; fumonisin contamination; aflatoxin fumonisin; feed feed ... See more keywords