RUAC vs Agtrinsic

https://ruac.eu Raspberry User Access Control („málna pc” alapú felhasználó beléptető rendszer) társalkalmazásunk a webes rendszer kiegészítőjeként, fizikai köttötségek nélkül használható belépési pontok menedzselésére, illetve azok mindennapos használatára. Ha éppen úton vagy, vagy körülményes lenne a webes felületet megnézni, de a telefonod kéznél van, gyorsan és hatékonyan tudsz ránézni a szükséges információkra. Főbb funkciók: - Automatikus ki és beléptetés - Irodában / Virtuális munkahely lokáción tartózkodó kollégák listája - Több beléptető eszköz kezelése - Kollégák részletes adatainak lekérése, választható dátumok között - Irodába / Virtuális lokáción ki- és belépő kollégákról értesítés The Raspberry User Access Control companion app. Being the auxiliary app for the websystem, the app can be used without physical or locational constraints, for everyday use/management of entry points. If you are on the road, or you cant use the websytem, the application provides a quick and clean user interface to access necessary information. Main features: - Automatic Check in/out - List of colleagues in the office / virtual workplace location - Management of multiple entry devices - Colleague details, attendance for specific dates - Check in/out notifications

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