Tapia-Mendez, E.; Hernandez-Sandoval, M.; Salazar-Colores, S.; Cruz-Albarran, I.A.; Tovar-Arriaga, S.; Morales-Hernandez, L.A.
A Novel Deep Learning Approach for Precision Agriculture: Quality Detection in Fruits and Vegetables Using Object Detection Models. Agronomy 2025, 15, 1307.
https://doi.org/10.3390/agronomy15061307
AMA Style
Tapia-Mendez E, Hernandez-Sandoval M, Salazar-Colores S, Cruz-Albarran IA, Tovar-Arriaga S, Morales-Hernandez LA.
A Novel Deep Learning Approach for Precision Agriculture: Quality Detection in Fruits and Vegetables Using Object Detection Models. Agronomy. 2025; 15(6):1307.
https://doi.org/10.3390/agronomy15061307
Chicago/Turabian Style
Tapia-Mendez, Enoc, Misael Hernandez-Sandoval, Sebastian Salazar-Colores, Irving A. Cruz-Albarran, Saul Tovar-Arriaga, and Luis A. Morales-Hernandez.
2025. "A Novel Deep Learning Approach for Precision Agriculture: Quality Detection in Fruits and Vegetables Using Object Detection Models" Agronomy 15, no. 6: 1307.
https://doi.org/10.3390/agronomy15061307
APA Style
Tapia-Mendez, E., Hernandez-Sandoval, M., Salazar-Colores, S., Cruz-Albarran, I. A., Tovar-Arriaga, S., & Morales-Hernandez, L. A.
(2025). A Novel Deep Learning Approach for Precision Agriculture: Quality Detection in Fruits and Vegetables Using Object Detection Models. Agronomy, 15(6), 1307.
https://doi.org/10.3390/agronomy15061307
