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Prediction of deoxynivalenol contamination in spring oats in Sweden using explainable artificial intelligence

Agriculture

Prediction of deoxynivalenol contamination in spring oats in Sweden using explainable artificial intelligence

X. Wang, T. Borjesson, et al.

Dive into groundbreaking research by X. Wang, T. Borjesson, J. Wetterlind, and H. J. van der Fels-Klerx, uncovering predictive models for deoxynivalenol (DON) contamination in spring oats in Sweden using advanced machine learning techniques. Discover how weather and agronomic factors influence crop safety and accuracy in predictions, with promising results for June.

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