Disease management is one of the most significant challenges facing fish farms today. Diseases can spread rapidly, impact fish health, and lead to costly losses. However, with the right tools, farms can stay ahead of disease outbreaks and take proactive steps to mitigate risks. That’s where Manolin’s Watershed Explorer comes in, offering access to over 20+ disease models, designed specifically to help farms predict, prevent, and manage the most prevalent diseases in aquaculture.
In this article, we’ll show you how Manolin’s disease modeling capabilities can transform fish health management by providing farms with actionable insights, risk scores, and near real-time predictions that allow them to make smarter, data-driven decisions.
Predicting disease outbreaks is no longer an abstract concept. On the Watershed Explorer platform, farms have access to industry-leading predictive models for the most important diseases. These models are designed to alert farms to potential risks before they materialize, giving them time to take action.
Manolin’s disease models analyze a wide range of farm-specific data, identifying anomalies and providing a clear risk score for each site. Farms can quickly assess their most vulnerable sites and get a confidence rating for potential diseases, helping them understand how likely an outbreak is. This allows farms to allocate resources more efficiently, focusing on areas where disease is most likely to strike.
Manolin’s models are based on data-centric AI, ensuring that the predictions are not only accurate but also continuously improving. This approach ensures that farms can rely on the data and insights they receive, making better decisions faster and avoiding the pitfalls of reactive disease management.
Once you have access to our Explorer tier, our 20+ disease models are ready to go, providing actionable insights at the click of a button. When a farm identifies a site at risk, they can dive into that site’s health data for a risk overview—seeing exactly which diseases are most likely to affect the fish population.
Confidence ratings: Manolin’s platform provides confidence intervals for each prediction, letting farms see just how certain the model is about potential disease outbreaks. This isn’t just about identifying risks; it’s about giving farms the confidence to act.
Risk scores: The risk score combines data from multiple sources to give an overall snapshot of how vulnerable a farm site is to specific diseases. By understanding these scores, farms can make proactive management decisions to reduce disease risk before it becomes a costly problem.
Here’s how farms can use Watershed Explorer’s disease models to make smarter decisions for better proactive risk management:
By focusing on the data-centric approach—prioritizing clean, structured data from various sources—Manolin’s disease models provide more accurate predictions. The self-healing nature of the data ensures farms are always working with reliable and up-to-date information, which is crucial for effective health management.
What sets Manolin apart from other platforms? Watershed Explorer is the only platform that offers over 20 disease models, ready to go. Farms can immediately start using these models to identify and manage the most prevalent diseases in the industry, helping them stay ahead of threats and take proactive steps toward fish health management.