Integration of hyperspectral imaging, non-targeted metabolomics and machine learning for vigour prediction of naturally and accelerated aged sweetcorn seeds
(2023)
Journal Article
Zhang, T., Lu, L., Yang, N., Fisk, I. D., Wei, W., Wang, L., Li, J., Sun, Q., & Zeng, R. (2023). Integration of hyperspectral imaging, non-targeted metabolomics and machine learning for vigour prediction of naturally and accelerated aged sweetcorn seeds. Food Control, 153, Article 109930. https://doi.org/10.1016/j.foodcont.2023.109930
Understanding and predicting the storage stability of sweetcorn seeds is critical for effective supply chain management, however, prediction ability relies heavily on accelerated ageing (AA) studies and this is not always directly applicable to natur... Read More about Integration of hyperspectral imaging, non-targeted metabolomics and machine learning for vigour prediction of naturally and accelerated aged sweetcorn seeds.