APA (7th ed.) Citation
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.
Chicago Style (17th ed.) Citation
Herath, Achini, Rhowell Jr Tiozon, Tobias Kretzschmar, Nese Sreenivasulu, Peter Mahon, and Vito Butardo. Machine Learning Approach for High-throughput Phenolic Antioxidant Screening in Black Rice Germplasm Collection Based on Surface FTIR. Elsevier, 2024.
MLA (9th ed.) Citation
Herath, Achini, et al. Machine Learning Approach for High-throughput Phenolic Antioxidant Screening in Black Rice Germplasm Collection Based on Surface FTIR. Elsevier, 2024.
Warning: These citations may not always be 100% accurate.