EAM vs Agtrinsic

The application is an extension of the EAM web application, which allows users to use some of the features available in the web version. The application is designed for maintenance workers (eg. mechanics) who are responsible for the technical efficiency of equipment on the production hall. The application allows workers to quickly access and react to current request (eg failures) that they are responsible for. Workers can transform requests into repair orders, make reservations of mechanical components, log working time and change the order status. The application is designed for companies that are customers of DSR SA and use the EAM product. To use the mobile application, the customer must get a subscription in DSR.

Agtrinsic is an AI platform that combines Hi-Res imagery, machine learning alerting, and an innovative disease model to alert you to what's happening on your fields to allow for proactive decision making. Automated alerting makes you aware of yield limiting factors such as weeds, low emergence, nutrient deficiencies, equipment skips, airborne pathogen detection, and more. With Agtrinsic everything you need to see is at the push of a button. You can sort your fields to show top problem fields quickly, zoom in to see detailed information on every field, along with virtual scouting. Agtrinsic also offers a full scouting program. Using AI routing, Agtrinsic ensures that the scout arrives at the field at the right time. These trips are carefully timed and selected around planting, post-herbicide, as well as pre and post fungicide applications to give you the best opportunity to make a change. Once arrived, that scout takes detailed notes, relevant pictures, and tags threats present in the field. This creates a report to be reviewed and sent to an agronomist, which is then shared with you to make timely and actionable decisions. Using machine learning classification algorithms, data is collected and analyzed against libraries for specific pathogens. As a result, we can provide high confidence counts of airborne spores for various crop diseases. Additionally, Agtrinsic’s broad scale microclimate data is monitored for various environmental conditions and is used in combination with pathogen data to give a more accurate view of disease pressure. Autonomous Airborne Pathogen Detection – Enables growers to proactively maximize yields and minimize operating costs through early detection of airborne pathogens. Broad scale disease modeling – Using advanced weather algorithms to monitor disease specific pressure over any geographical area. Crowd sourced disease modeling – Using crowd sourcing, Agtrinsic categorizes alerts, to show you where the biggest concern lies. If something is going on in your field, Agtrinsic will show it. Use Agtrinsic year-round to make informed decisions, reduce risk, improve efficiency, and maximize your ROI. Collaborate & Share - Agtrinsic is Easy to Use