Research in Agricultural Engineering - Online first

Detection of heat-stressed chickens in poultry house based on deep network and optical flow vectors in the Fourier domainOriginal Paper

Ngo Quoc Viet, Thai Yen

Res. Agr. Eng., X:X | DOI: 10.17221/46/2025-RAE  

The productivity and quality of the entire flock are negatively impacted by heat stress in chickens, which can have major repercussions, particularly in crowded farming settings where diseases are easy to spread and hard to control. This study uses deep networks and optical flow to identify heat stress in chickens. The technique focuses on identifying obvious signs of heat stress, such as panting and open-mouth breathing in chickens. There are two phases to the suggested approach: (1) using a deep network to detect open-mouth breathing in chickens; (2) using the Gunnar Farnebäck algorithm to compute the optical flow vectors of the wattle, the breathing...