Extensive field, soil, satellite and sensor data will be used as input to model algorithms driven by AI/ML and spatial analysis (GIS). These algorithms will be used to create prescription files to control inputs and other actions in the fields as efficiently and climate friendly as possible.
Sensative, together with Örebroporten, wants to explore and verify how much we can reduce a property's CO2 emissions and energy consumption with the help of our IoT platform, AI and a relatively low investment in 48 volts micro-grid networks with solar cells, batteries and 48 V lighting, heating systems, and more.
DAIS approach is to develop intelligent, secure and trustworthy systems for industrial applications to provide comprehensive cost and energy-efficient solutions of intelligent, end-to-end secure, trustworthy connectivity and interoperability to bring the Internet of Things and Artificial Intelligence together.
The project will, with the help pf Machine Learning and AI algorithms, identify common sensor problems for the most interesting sensors in agriculture, including sensors for temperature, humidity, precipitation and wind in weather stations, sensors for soil temperature and humidity, etc.
An important part of the digitalization process is to connect critical infrastructures to the Internet. This creates a wide range of opportunities for security attacks with a huge potential impact, and thus makes our society vulnerable and unsafe.
CONVINcE addresses the challenge of reducing the power consumption in IP-based video networks with an end-to-end approach, from the headend where contents are encoded and streamed to the terminals where they are consumed, embracing the Content Delivery Networks (CDN) and the core and access networks.
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VA SYD prisas av organisationen Smart Cities Connect för ett projekt som effektiviserar och förbättrar dricksvattensystemet genom att installera digitala vattenmätare hos kunder. Allt hanterat mha Yggio från Sensative.