Article Versions Notes

Farrar MB, Martinez M, Jones K, Omidvar N, Wallace HM, Chen T, Hosseini Bai S. The Potential for Hyperspectral Imaging and Machine Learning to Classify Internal Quality Defects in Macadamia Nuts. Horticulturae. 2024; 10(11):1129. https://doi.org/10.3390/horticulturae10111129

Farrar, Michael B., Marcela Martinez, Kim Jones, Negar Omidvar, Helen M. Wallace, Thomas Chen, and Shahla Hosseini Bai. 2024. "The Potential for Hyperspectral Imaging and Machine Learning to Classify Internal Quality Defects in Macadamia Nuts" Horticulturae 10, no. 11: 1129. https://doi.org/10.3390/horticulturae10111129

Farrar, M. B., Martinez, M., Jones, K., Omidvar, N., Wallace, H. M., Chen, T., & Hosseini Bai, S. (2024). The Potential for Hyperspectral Imaging and Machine Learning to Classify Internal Quality Defects in Macadamia Nuts. Horticulturae, 10(11), 1129. https://doi.org/10.3390/horticulturae10111129