Rubambiza, Gloire, Romero Galvan, Fernando, Pavlick, Ryan, Weatherspoon, Hakim, and Gold, Kaitlin M. Toward Cloud‐Native, Machine Learning Base Detection of Crop Disease With Imaging Spectroscopy. Retrieved from https://par.nsf.gov/biblio/10419404. Journal of Geophysical Research: Biogeosciences 128.6 Web. doi:10.1029/2022JG007342.

Rubambiza, Gloire, Romero Galvan, Fernando, Pavlick, Ryan, Weatherspoon, Hakim, & Gold, Kaitlin M. Toward Cloud‐Native, Machine Learning Base Detection of Crop Disease With Imaging Spectroscopy. Journal of Geophysical Research: Biogeosciences, 128 (6). Retrieved from https://par.nsf.gov/biblio/10419404. https://doi.org/10.1029/2022JG007342

Rubambiza, Gloire, Romero Galvan, Fernando, Pavlick, Ryan, Weatherspoon, Hakim, and Gold, Kaitlin M. "Toward Cloud‐Native, Machine Learning Base Detection of Crop Disease With Imaging Spectroscopy". Journal of Geophysical Research: Biogeosciences 128 (6). Country unknown/Code not available. https://doi.org/10.1029/2022JG007342. https://par.nsf.gov/biblio/10419404.

@article{osti_10419404,
place = {Country unknown/Code not available}, title = {Toward Cloud‐Native, Machine Learning Base Detection of Crop Disease With Imaging Spectroscopy}, url = {https://par.nsf.gov/biblio/10419404}, DOI = {10.1029/2022JG007342}, abstractNote = {}, journal = {Journal of Geophysical Research: Biogeosciences}, volume = {128}, number = {6}, author = {Rubambiza, Gloire and Romero Galvan, Fernando and Pavlick, Ryan and Weatherspoon, Hakim and Gold, Kaitlin M.}, }