Valtra Inc. is seeking for partners to develop new software and applications based on the telemetry data produced by the working machines, and offers the selected teams possibility for long-term business cooperation. The resulting applications can be offered to domestic and international end users through Valtra's and AGCO's customer portals.
About the challenge
Digitalisation, the utilisation of telemetry data produced by working machines and decision-making based on real-time data create new opportunities to improve the efficiency of the use of machinery, primary production, food chain and sustainable food production, and hence the profitability of farms. In modern machines, the amount of data generated is enormous. How can the resulting data be harnessed into a new intelligence that helps the operator of the machine make decisions based on real-time data? How can telemetry data produced by machines and publicly available big data be combined for the benefit of the user and support decision making?
Advanced algorithmics could be used to refine and enrich data more efficiently and to identify on a data-based basis what is happening in or around the machine. Through data visualization, essential information can be perceived by the user, and relevant information that supports decision-making can be obtained from the data. The aim is to provide the machine operator with the right information, in the right form and in the right moment, thereby improving the user's situational awareness. By combining data sources and visualizing data, new value-added applications can be created for both end customers and for Valtra Inc., based on the data and AGCO's API-interface. As a result, it is possible to offer applications that facilitate the everyday life and decision-making of the machine operator, to both domestic and international end users through Valtra’s and AGCO's customer portals.
ValtraHackathon
ValtraHackathon aims to find solutions that can provide added value to the end customer from the data generated by the working machines, hence contributing to digitalization, knowledge-based management, real-time data-based decision-making and profitability of sustainable food production and primary production in the food chain.
Hackathon aims to highlight the potential of advanced algorithmics and software development to utilise data generated by working machines and to develop new applications that improve end-user’s situational awareness.
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