Article Versions Notes

Fuentes S, Tongson EJ, De Bei R, Gonzalez Viejo C, Ristic R, Tyerman S, Wilkinson K. Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach. Sensors. 2019; 19(15):3335. https://doi.org/10.3390/s19153335

Fuentes, Sigfredo, Eden Jane Tongson, Roberta De Bei, Claudia Gonzalez Viejo, Renata Ristic, Stephen Tyerman, and Kerry Wilkinson. 2019. "Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach" Sensors 19, no. 15: 3335. https://doi.org/10.3390/s19153335

Fuentes, S., Tongson, E. J., De Bei, R., Gonzalez Viejo, C., Ristic, R., Tyerman, S., & Wilkinson, K. (2019). Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies, Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach. Sensors, 19(15), 3335. https://doi.org/10.3390/s19153335