Assessing Cadmium Stress Resilience in Myrtle Genotypes Using Machine Learning Predictive Models: A Comparative In Vitro Analysis
Abstract
Share and Cite
Tütüncü, M.; Isak, M.A.; İzgü, T.; Dönmez, D.; Kaçar, Y.A.; Şimşek, Ö. Assessing Cadmium Stress Resilience in Myrtle Genotypes Using Machine Learning Predictive Models: A Comparative In Vitro Analysis. Horticulturae 2024, 10, 542. https://doi.org/10.3390/horticulturae10060542
Tütüncü M, Isak MA, İzgü T, Dönmez D, Kaçar YA, Şimşek Ö. Assessing Cadmium Stress Resilience in Myrtle Genotypes Using Machine Learning Predictive Models: A Comparative In Vitro Analysis. Horticulturae. 2024; 10(6):542. https://doi.org/10.3390/horticulturae10060542
Chicago/Turabian StyleTütüncü, Mehmet, Musab A. Isak, Tolga İzgü, Dicle Dönmez, Yıldız Aka Kaçar, and Özhan Şimşek. 2024. "Assessing Cadmium Stress Resilience in Myrtle Genotypes Using Machine Learning Predictive Models: A Comparative In Vitro Analysis" Horticulturae 10, no. 6: 542. https://doi.org/10.3390/horticulturae10060542