APA (7th ed.) Citation

Polimena, S., Pio, G., Cefola, M., Palumbo, M., Ceci, M., & Attolico, G. A novel random forest-based approach for the non-destructive and explainable estimation of ammonia and chlorophyll in fresh-cut rocket leaves. Elsevier.

Chicago Style (17th ed.) Citation

Polimena, Stefano, Gianvito Pio, Maria Cefola, Michela Palumbo, Michelangelo Ceci, and Giovanni Attolico. A Novel Random Forest-based Approach for the Non-destructive and Explainable Estimation of Ammonia and Chlorophyll in Fresh-cut Rocket Leaves. Elsevier.

MLA (9th ed.) Citation

Polimena, Stefano, et al. A Novel Random Forest-based Approach for the Non-destructive and Explainable Estimation of Ammonia and Chlorophyll in Fresh-cut Rocket Leaves. Elsevier.