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livestock industry
Trends
- 1Deep Learning Used to Detect Wildlife Disease Risks at Swine Deadstock Sites▼Using Deep Learning to Detect Wildlife Disease Risks at Swine Deadstock Sites
Researchers are applying deep learning to swine deadstock sites to identify wildlife-related disease risks, according to Pork Business. The approach aims to spot patterns that could signal disease spread between wildlife and livestock, helping farmers and veterinarians respond earlier. The technique reflects a broader push in agriculture toward AI-based surveillance tools.
- 2Foot-and-Mouth Detection Costs Namibia Its Disease-Free Status●FMD Detection Disrupts Namibia’s Disease-Free Status and Trade
Namibia has lost its foot-and-mouth disease-free status after a detection of the virus, triggering disruptions to livestock exports and trade. The country had previously held a status that allowed beef shipments to premium markets, and its suspension is expected to hit farmers and the national cattle industry while authorities work to contain the outbreak and restore certification.
- 3
Authorities are working to combat an outbreak of New World screwworm, a parasitic fly whose larvae infest the wounds of warm-blooded animals, posing a serious threat to livestock and wildlife. Details on the affected regions and control measures remain limited, but the outbreak is drawing attention due to the parasite's potential to spread rapidly and cause significant economic damage to agriculture.
- 4
Merck Animal Health has announced an expansion of the capabilities of its SenseHub dairy monitoring platform. The system tracks herd health, heat detection and animal wellbeing for dairy farmers, and the new update broadens the monitoring data available to producers. Details of the exact features added were not immediately provided in the announcement.