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Infection prediction in swine populations with machine learning
Infection prediction in swine populations with machine learning Avishai Halev, Beatriz Martínez-López, Maria Clavijo, Carlos Gonzalez-Crespo, Jeonghoon Kim, Chao Huang, Seth Krantz, Rebecca Robbins & Xin
IClassifier To Transform Dairy Farming With AI Cow Health Monitoring
Edmonton-based startup iClassifier is set to transform dairy farming in Canada through innovative technology. By utilizing images, videos, and artificial intelligence, the company aims
Big data could aid in early detection of coccidiosis
Detecting coccidiosis in poultry flocks early could prevent performance and financial losses for producers. A system that can detect coccidiosis or potentially other diseases in
Can you speak chicken? AI can translate for you
What’s the word, bird? Scientists from Japan say they can understand what different chicken sounds mean — thanks to AI. Researchers claim by using technology
AI-empowered test provides breakthrough disease detection
DIAGNOSTICS testing company MI:RNA has developed a new AI-empowered testing method for early disease detection. This new technology is showing preliminary data of 73% sensitivity
Facial Recognition Technology Meets the Cattle Industry
If you’ve flown internationally recently, you may have had a first-hand experience with facial recognition software. Now that technology has found its way to the
Pre-insemination prediction of dystocia in dairy cattle
Dystocia or difficult calving in cattle is detrimental to the health of the afflicted cows and has a negative economic impact on the dairy industry.
Researchers to investigate using AI to detect disease in dairy cows earlier
Researchers from University of Bristol have received funding to investigate whether Artificial Intelligence (AI) could be used to detect disease in dairy cows earlier. The
Artificial intelligence algorithm comparison and ranking for weight prediction in sheep
Ambreen Hamadani & Nazir Ahmad Ganai Scientific Reports volume 13, Article number: 13242 (2023) In a rapidly transforming world, farm data is growing exponentially. Realizing the importance of this data, researchers are