The Problem: Delayed Illness Detection in Livestock
As most people in the agriculture industry know, livestock living in close quarters creates an environment where diseases can spread quickly. For swine producers, they must constantly be on the lookout for the spread of respiratory illness, which according to MACSO, accounts for 60% of swine deaths globally.
Traditional methods to detect disease like conducting visual inspections and checkups from the vet often fail to catch the early and more subtle signs of disease. Typically, by the time a swine’s symptoms are noticeable, the illness has already begun to spread, causing massive ripple effects.
Economic Impact
In China, swine diseases are projected to cause 1.40 – 2.07% losses to GDP ($186 – 286 billion). In the US, a Porcine Reproductive and Respiratory Syndrome Virus (PRRS) outbreak would cost $50 billion in direct and indirect losses.
Livestock and Human Health Impact
Not only is the spread of disease costly, but it also undermines farmers’ efforts to reduce antibiotics use to decrease the risk of bacteria that are resistant, also called antimicrobial resistance. In addition to posing a threat to swine, it can also be a risk to humans for crossover diseases that humans treat with antibiotics. Humans would also be at greater risks from consuming contaminated meat products.
Why Traditional Methods of Illness Detection are Impractical
Visual Inspection
Managing visual inspections across multiple large barns, which often hold thousands of swine, makes human observation alone an ineffective way to consistently spot a sick animal. Additionally, there aren’t enough trained personnel to complete these visual inspections of livestock. The sheer number of farms and farm workers is declining, while livestock populations continue to rise.
Frequent Vet Visits
Periodic checkups from a veterinarian can be helpful, but this method of disease detection often fails to catch illness early because checkups are too infrequent. The cost of increasing the frequency of these visits will add up quickly, and costs may be passed down through the supply chain to the end customer.
On-Farm AI Is Giving Farmers an Edge in Early Disease Detection
A new solution is being proposed to solve the problem of swine producers needing to balance the rising demand for pork with fewer veterinary resources and increasing pressure to reduce antibiotic use. Adding an on-premise AI inference server and AI-enabled audio sensors to the barn gives farmers the tools to detect illness early and act quickly without relying on cloud connectivity.
Training AI to Hear What Farmers Can’t
These audio-based AI sensors listen for signs of distress, coughing patterns, or environmental changes that may indicate signs of illness. Integrated with an AI inference server, the system enables early illness detection and real-time herd monitoring. In fact, MACSO studies have shown that this method can identify respiratory problems in pigs days before human detection would be possible.
AI That Stays on the Farm
To power this smart monitoring system, audio-based AI sensors are deployed across the barn, and they connect locally to an AI inference server. By using an on-premises solution and avoiding cloud dependency, farms gain reliability, speed, and data privacy, especially in areas with limited internet access.
In addition to detecting disease, the same AI inference server can also support other farm management applications, including feed optimization, environmental control, and behavioral tracking.
Turning Real-Time Insights into Results
For large-scale operations, early detection and rapid response can deliver measurable returns. Lower mortality rates, reduced antibiotic usage, and fewer disruptions all contribute to a stronger bottom line. By keeping compute and analytics on-site, this new AI solution helps farms act faster, operate more efficiently, and make better-informed decisions.
Key Takeaways
On-farm AI is changing how farmers detect and manage livestock disease, making it faster, more accurate, and less expensive. By using MACSO’s Integrated Audio Sensors and Unigen’s Edge Computing, we are proud to offer a solution to help farmers detect animal illnesses earlier.
- Early disease detection helps stop outbreaks before they spread
- Audio-based AI can detect illness days earlier than visual inspections
- On-premise AI systems work without relying on cloud connectivity
- Faster detection means lower mortality, reduced antibiotic use, and higher profitability
Quick Answers
What is on-farm AI?
On-farm AI refers to artificial intelligence systems that operate directly at the farm, using local sensors and servers to analyze data in real time without sending it to the cloud.
How does AI detect illness in livestock?
AI-enabled audio sensors listen for coughing, distress sounds, and changes in herd behavior. These patterns are analyzed by an on-site AI inference server to identify early signs of disease.
Why is early disease detection important for farmers?
Catching illness early reduces disease spread, lowers mortality rates, minimizes antibiotic use, and helps farmers avoid costly outbreaks.
Does on-farm AI require internet access?
No. Because the AI inference server runs on-premises, farms can monitor livestock health reliably even in areas with limited or no internet connectivity.
Is this technology only for swine farms?
While this article focuses on swine production, similar AI-based monitoring systems can be applied to poultry, cattle, and other livestock operations.
About Unigen Corporation
Founded in 1991, Unigen is an established global leader in the design and manufacture of OEM products including SSDs, DRAM modules, NVDIMMs, Enterprise IO and AI solutions. Unigen also offers a full array of Electronics Manufacturing Services (EMS), including design, quick-turn prototyping, new product introduction, volume production, supply chain management, assembly & test, and aftermarket services. Headquartered in Newark, California, the company operates state-of-the-art manufacturing facilities (ISO-9001/14001/13485 and IATF 16949) in the heart of Silicon Valley as well as offshore in Vietnam. Unigen offers its products and services to customers worldwide targeting a broad range of end markets including automotive, computing and storage, embedded, medical, AI, robotics, clean energy, defense, aerospace, and IoT. Learn more about Unigen’s products and services at unigen.com.
About the Author
Jeffrey Schmitz is Senior Director of Strategic Accounts at Unigen Corporation, where he leads initiatives in AI-enabled edge computing, memory, and storage solutions. With a focus on OEM partnerships and real-world applications of AI, he’s bringing Unigen’s innovative technologies into industries such as agriculture, healthcare, and smart cities.
