HIGHLIGHTS
- who: Marco Camardo Leggieri and collaborators from the Department of Sustainable Crop Production, Universitu00e0 Cattolica del Sacro Cuore, Via EParmense, Piacenza, Italy Department of Livestock Population Genomics, University of Hohenheim, Garbenstrau03b2e , have published the research: Electronic Nose for the Rapid Detection of Deoxynivalenol in Wheat Using Classification and Regression Trees, in the Journal: Toxins 2022, 14, 617. of /2022/
- what: The data set used in this study is comprehensive but due to the source of variation mentioned, to conclude on the validity of the method, further validation with a more balanced data set is desirable . . .
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