Cita APA (7a ed.)
Herath, A., Tiozon, R. J., Kretzschmar, T., Sreenivasulu, N., Mahon, P., & Butardo, V. (2024). Machine learning approach for high-throughput phenolic antioxidant screening in black Rice germplasm collection based on surface FTIR. Elsevier.
Cita Chicago Style (17a ed.)
Herath, Achini, Rhowell Jr Tiozon, Tobias Kretzschmar, Nese Sreenivasulu, Peter Mahon, y Vito Butardo. Machine Learning Approach for High-throughput Phenolic Antioxidant Screening in Black Rice Germplasm Collection Based on Surface FTIR. Elsevier, 2024.
Cita MLA (9a ed.)
Herath, Achini, et al. Machine Learning Approach for High-throughput Phenolic Antioxidant Screening in Black Rice Germplasm Collection Based on Surface FTIR. Elsevier, 2024.
Precaución: Estas citas no son 100% exactas.