| [1] | Martinez-Mayorga K. and Medina-Franco J.L. (2014). Foodinformatics: Applications of chemical information to food chemistry. Martinez-Mayorga K. and Medina-Franco J.L. (eds). (Springer). DOI:10.1007/978-3-319-10226-9 |
| [2] | Krupitzer C. and Stein A. (2021). Food Informatics — Review of the current state-of-the-art, revised definition, and classification into the research landscape. Foods 10:2889. DOI:10.3390/foods10112889 |
| [3] | Ke Q., Zhang J., Huang X., et al. (2026). Machine learning unveils three layers of food complexity. npj Sci. Food 10:87. DOI:10.1038/s41538-026-00730-w |
| [4] | Poore J. and Nemecek T. (2018). Reducing food’s environmental impacts through producers and consumers. Science 360:987−992. DOI:10.1126/science.aaq0216 |
| [5] | Zhang D., Liu M., Yu Z., et al. (2025). Domain knowledge, just evaluation, and robust data standards are required to advance AI in food science. Trends Food Sci Technol 164:105272. DOI:10.1016/j.jpgs.2025.105272 |
| Leow M. Z., Fu C. and Zhang D. (2026). Food Informatics: Leveraging data and knowledge to advance food systems. The Innovation Informatics 2:100038. https://doi.org/10.59717/j.xinn-inform.2026.100038 |
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Overview of the scope (central circle), key approaches (intermediate circle), and major research areas (surrounding sectors) in Food Informatics.