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- Journal Article
- A2
- open access
Deoxynivalenol prediction and spatial mapping in wheat based on online hyperspectral imagery scanning
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Prediction of Deoxynivalenol contamination in wheat kernels and flour based on visible near-infrared spectroscopy, feature selection and machine learning modelling
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Field-based hyperspectral imaging for detection and spatial mapping of fusarium head blight in wheat
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Data fusion of visible near-infrared and mid-infrared spectroscopy combined with feature selection and machine learning for rapid discrimination of fusarium head blight infection in wheat kernel and flour
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- Journal Article
- A1
- open access
Genetic and phenotypic diversity of European triticale : GWAS of yellow rust resistance and agronomic traits
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- Journal Article
- A1
- open access
Farmers’ willingness to adopt precision agricultural technologies to reduce mycotoxin contamination in grain : evidence from grain farmers in Spain and Lithuania
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- Journal Article
- A1
- open access
Non-destructive detection of fusarium head blight in wheat kernels and flour using visible near-infrared and mid-infrared spectroscopy
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Design and characterization of an artificial two-strain bacterial consortium for the efficient biodegradation of deoxynivalenol
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- Journal Article
- A2
- open access
Evidence of development of underutilised crops and their ecosystem services in Europe : a systematic mapping approach
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Detection of fusarium head blight in wheat using hyperspectral data and deep learning