APA (7th ed.) Citation

Tondato, B., Tercete, G., Maia, R. F., & Hornbuckle, J. (2026). Predicting Irrigated Rice Soil–Water Conditions Using Multispectral Remote Sensing and Machine Learning in Semi-Arid Australia. Remote Sensing, 18(15), 2504. https://doi.org/10.3390/rs18152504

Chicago Style (17th ed.) Citation

Tondato, Brenno, Gustavo Tercete, Rodrigo Filev Maia, and John Hornbuckle. "Predicting Irrigated Rice Soil–Water Conditions Using Multispectral Remote Sensing and Machine Learning in Semi-Arid Australia." Remote Sensing 18, no. 15 (2026): 2504. https://doi.org/10.3390/rs18152504.

MLA (9th ed.) Citation

Tondato, Brenno, et al. "Predicting Irrigated Rice Soil–Water Conditions Using Multispectral Remote Sensing and Machine Learning in Semi-Arid Australia." Remote Sensing, vol. 18, no. 15, 2026, p. 2504, https://doi.org/10.3390/rs18152504.