Professional management and optimization of today's agriculture is a challenging task. On the modern farm there is an abundance of data available. There is data about animals, feed, crops, work routines, machinery, cultivation, fertilizer, product quality, economy and much more. Besides this, there are large amounts of publicly available data that are important for farming.
The number of data sources and the amount of data is rapidly increasing, thus increasing the ability to make the right decisions using data analysis.
The modern farmer must therefore master the role of digital farming: How to combine correct data at the right time to anticipate the farm’s development and production.
If a bigger part of the data available on the farm is put into play and actively used in the decision-making process, it will improve the farmer's decisions and ultimately increase the business.
In short, the assignment is about extracting more value from agricultural data.
The goal is to design content, services and / or elements for a management information system (Business Intelligence solution) that can promote professional enterprise management. It will enable the farmer to effectively and easily connect data from different data sources in an easily accessible / user-friendly overview.
There may be focus on benchmarking and forecasting.