Cita APA (7a ed.)

Habyarimana, E., & Baloch, F. S. (2021). Machine learning models based on remote and proximal sensing as potential methods for in-season biomass yields prediction in commercial sorghum fields. Public Library of Science (PLoS).

Cita Chicago Style (17a ed.)

Habyarimana, Ephrem, y Faheem S. Baloch. Machine Learning Models Based on Remote and Proximal Sensing as Potential Methods for In-season Biomass Yields Prediction in Commercial Sorghum Fields. Public Library of Science (PLoS), 2021.

Cita MLA (8a ed.)

Habyarimana, Ephrem, y Faheem S. Baloch. Machine Learning Models Based on Remote and Proximal Sensing as Potential Methods for In-season Biomass Yields Prediction in Commercial Sorghum Fields. Public Library of Science (PLoS), 2021.