3 citations · 4 across the 3 of their papers we have counts for
3 papers
Predicting Mycotoxin Contamination in Irish Oats Using Deep and Transfer Learning
Alan Inglis, Fiona Doohan, Subramani Natarajan +13
Mycotoxin contamination poses a significant risk to cereal crop quality, food safety, and agricultural productivity. Accurate prediction of mycotoxin levels can support early inter…
Generative AI-based data augmentation for improved bioacoustic classification in noisy environments
Anthony Gibbons, Emma King, Ian Donohue +1
Obtaining data to train robust artificial intelligence (AI)-based models for species classification can be challenging, particularly for rare species. Data augmentation can boost c…
Machine Learning Applied to the Detection of Mycotoxin in Food: A Review
Alan Inglis, Andrew Parnell, Natarajan Subramani +1
Mycotoxins, toxic secondary metabolites produced by certain fungi, pose significant threats to global food safety and public health. These compounds can contaminate a variety of cr…