Projects and Publications

Welcome to the Smart Dairy AI Projects & Publications page. A collection of the research, innovations, and applied technologies driving our mission. Here you’ll find work that reflects our passion for combining advanced artificial intelligence with practical, real-world challenges. Each project showcases our commitment to innovation and our ongoing journey to transform the future of dairy through data-driven insight. We invite you to explore, get inspired, and join us in shaping the next generation of smart agriculture.

Projects

• Predicting mozzarella cheese meltability with spectroscopy and machine learning
• Assessing whey quality through synchronous front-face fluorescence
• A novel approach to evaluate ice-cream meltability using spectroscopy coupled with machine learning
• Assessing machine learning and autonomic responses to predict perceptions of pleasantness and intensity in response to impact odorants

Publications

• Freire, P., Zamora, A., & Castillo, M. (2025). Predicting whey’s functional properties through
  synchronous front-face fluorescence spectroscopy. Journal of Dairy Science, 108(9), 9359-9377. https://doi.org/10.3168/jds.2025-26765
• Freire, P., Freire, D., & Licon, C. C. (2024). A comprehensive review of machine learning and its application to dairy products. Critical Reviews in Food Science and Nutrition, 1-16. https://doi.org/10.1080/10408398.2024.2312537
• Freire, P., Zamora, A., & Castillo, M. (2024). Synchronous Front-Face Fluorescence Spectra: A Review of Milk Fluorophores. Foods, 13(5), 812. https://doi.org/10.3390/foods13050812
• Freire, P., Zambrano, A., Zamora, A., & Castillo, M. (2022). Thermal denaturation of milk whey proteins: A comprehensive review on rapid quantification methods being studied, developed and implemented. Dairy, 3(3), 500-512. https://doi.org/10.3390/dairy3030036
• Teng, Y. T., Freire, P., Zamora, A., & Castillo, M. (2022). Tryptophan front-face fluorescence and functional properties of whey: A preliminary study. LWT, 163, 113589. https://doi.org/10.1016/j.lwt.2022.113589