APA (7th ed.) Citation

Selvaraj, M. G., Valderrama, M., Guzman, D., Valencia, M., Ruiz, H., & Acharjee, A. (2020). Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz). Plant methods, 16(1), 87. https://doi.org/10.1186/s13007-020-00625-1

Chicago Style (17th ed.) Citation

Selvaraj, Michael Gomez, Manuel Valderrama, Diego Guzman, Milton Valencia, Henry Ruiz, and Animesh Acharjee. "Machine Learning for High-throughput Field Phenotyping and Image Processing Provides Insight into the Association of Above and Below-ground Traits in Cassava (Manihot Esculenta Crantz)." Plant Methods 16, no. 1 (2020): 87. https://doi.org/10.1186/s13007-020-00625-1.

MLA (9th ed.) Citation

Selvaraj, Michael Gomez, et al. "Machine Learning for High-throughput Field Phenotyping and Image Processing Provides Insight into the Association of Above and Below-ground Traits in Cassava (Manihot Esculenta Crantz)." Plant Methods, vol. 16, no. 1, 2020, p. 87, https://doi.org/10.1186/s13007-020-00625-1.