Study on image acquisition and camera positioning of depth recognition model in the tobacco curing stage

To address the challenges in the digital transformation of the tobacco industry regarding the recognition of data acquisition standards and the construction of an Internet of Things (IoT) system for tobacco leaf curing stages, these deep neural networks are applied in this field to construct an identification model. Data was collected under various conditions, including different camera types (with or without distortion, focal length), …