Livestock welfare assessment helps monitor animal health status to maintain productivity, identify injuries and stress, and avoid deterioration. It has also become an important …
In animal husbandry, the traceability of individual cattle, their health information, and performance records greatly depend on computer vision and image processing-based …
Increased biosecurity and food safety requirements may increase demand for efficient traceability and identification systems of livestock in the supply chain. The advanced …
S Mahato, S Neethirajan - Information Processing in Agriculture, 2024 - Elsevier
Abstract The integration of Artificial Intelligence (AI) into dairy farm management through biometric facial recognition of cows marks a significant milestone in livestock care. This …
Livestock, throughout their lifespan, are transported to multiple destinations before being processed into consumable goods. The assurance of authentic product delivery hinges on …
A Kaur, M Kumar, MK Jindal - Ecological Informatics, 2022 - Elsevier
Since the last decade, researchers have been using image processing and machine learning to automatically analyse and identify patterns from images without any human …
RW Bello, DA Olubummo, Z Seiyaboh… - … Series: Earth and …, 2020 - iopscience.iop.org
Petersen was the first published paper to address cattle biometrics and identification problem by suggesting a permanent cattle identification method based on nose print …
Livestock image segmentation is an important task in the field of vision and image processing. Since utilizing the concentration of forage in the grazing area with shielding the …
Purpose: Identification of individual cow breeds may offer various farming opportunities for disease detection, disease prevention and treatment, fertility and feeding, and welfare …