HIGHLIGHTS
- who: Zhenwei Yu from the Technical University of Munich, Germany have published the paper: Leveraging SOLOv2 model to detect heat stress of poultry in complex environments, in the Journal: (JOURNAL)
- what: This study designed a poultry heat stress detection model based on machine vision. The main contributions of this study are as follows: For complex background images, a deep learning-based recognition and segmentation model of poultry heat stress state is proposed. In this paper, the k value is determined adaptively by a function related to the channel dimension. The parameters of the CNNs were . . .
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