Enhancing Plant Disease Detection in Agriculture Through YOLOv6 Integration with Convolutional Block Attention Module

Haijoub, A.; Hatim, A.; Arioua, M.; Eloualkadi, A.; Gómez-López, M.D.

doi:10.1007/978-3-031-61137-7_44

Enhancing Plant Disease Detection in Agriculture Through YOLOv6 Integration with Convolutional Block Attention Module

Haijoub, A.
Hatim, A.
Arioua, M.
Eloualkadi, A.
Gómez-López, M.D.

Collection de livres:

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISSN: 1611-3349, 0302-9743

ISBN: 9783031611360

Année de publication: 2024

Bioinspired Systems for Translational Applications: From Robotics to Social Engineering - 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Proceedings

Volumen: 14675 LNCS

Pages: 474-484

Type: Communication dans un congrès

DOI: 10.1007/978-3-031-61137-7_44 GOOGLE SCHOLAR

La source de données: Scopus