APA (7th ed.) Citation

Gallo, I., Boschetti, M., Rehman, A. U., & Candiani, G. (2023). Self-Supervised Convolutional Neural Network Learning in a Hybrid Approach Framework to Estimate Chlorophyll and Nitrogen Content of Maize from Hyperspectral Images. Remote sensing (Basel, Switzerland), 15(19), 4765. https://doi.org/10.3390/rs15194765

Chicago Style (17th ed.) Citation

Gallo, Ignazio, Mirco Boschetti, Anwar Ur Rehman, and Gabriele Candiani. "Self-Supervised Convolutional Neural Network Learning in a Hybrid Approach Framework to Estimate Chlorophyll and Nitrogen Content of Maize from Hyperspectral Images." Remote Sensing (Basel, Switzerland) 15, no. 19 (2023): 4765. https://doi.org/10.3390/rs15194765.

MLA (9th ed.) Citation

Gallo, Ignazio, et al. "Self-Supervised Convolutional Neural Network Learning in a Hybrid Approach Framework to Estimate Chlorophyll and Nitrogen Content of Maize from Hyperspectral Images." Remote Sensing (Basel, Switzerland), vol. 15, no. 19, 2023, p. 4765, https://doi.org/10.3390/rs15194765.