TY  - JOUR 
AU  - Nnadozie, Emmanuel Chibuikem
AU  - Casaseca de la Higuera, Juan Pablo
AU  - Iloanusi, Ogechukwu
AU  - Ani, Ozoemena
AU  - Alberola López, Carlos
PY  - 2023
SN  - 1380-7501
UR  - https://uvadoc.uva.es/handle/10324/66697
AB  - Deep learning-based object detection models have become a preferred choice for crop
detection tasks in crop monitoring activities due to their high accuracy and generalization
capabilities. However, their high computational demand and large memory...
LA  - eng
PB  - Springer
KW  - Object detection
KW  - Model simplification
KW  - Crop monitoring
KW  - YOLOv5
KW  - Deep learning
TI  - Simplifying YOLOv5 for deployment in a real crop monitoring setting
DO  - 10.1007/s11042-023-17435-x
ER  -