Zeus.AI has the ability and experience to connect any agricultural equipment to the internet and build for it a dedicated application.
We are specialized in applying the new technologies of Internet of Things (IoT), Artificial Intelligence (AI) and Business Intelligence (BI).
We and our customers believe in the Formula:
IOT + AI + BI = $²
In order to offer manufacturers the most appropriate solution, it is necessary for us to study the product, be creative, and ensure innovation at a competitive price.
Imagine if we could offer our services to this nice Egyptian farmer from the Pharaonic era. The agriculture equipment he used is a plow, pulled by two cows.
We’d provide him with:
* Climate sensors, which would provide him real-time data on various relevant parameters, coupled with relevant data from meteorological websites, including weather forecasts.
* A GPS sensor to provide information about where and when he plowed.
* We’d insert boluses into his cow’s stomachs, to provide information about the cow’s temperature and health situation, and about the pH in their stomachs (Information that can be used to improve and optimize the cow’s nutrition.)
* And of course we’d provide him with a dedicated app, for getting the information and alerts he needs.
Improve your business results by offering your customers the option of better control of your agricultural products and optimizing their use.
We will be happy to offer you a comprehensive solution, which will make your products connected to the Internet, and controlled by your customers through a connection to the application.
Product characterization, Understanding needs and problems
production of the hardware and installing the sensors that are needed. Connecting the sensors to the transmitter.
Our servers will get the data from the transmitter to the cloud
Zeus.AI uses its capabilities and experience to process the information and use it intelligently using AI and machine learning tools.
Through the app we can send the relevant reports and alarms both to the producers of agricultural equipment and to their customers. The data received can interface with the customer's existing managing tools.
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