Veranstaltung  /  08. November 2019  -  09. November 2019

The Forum for Agricultural Engineering Innovations

Alle zwei Jahre treffen sich Experten, Spezialisten, Wissenschaftler und Akademiker am Vorabend der AGRITECHNICA Konferenz, um am LAND.TECHNIK Kongress teilzunehmen. Damit ist die LAND.TECHNIK eine der wichtigsten Veranstaltungen für alle, die im Bereich Landwirtschaftstechnik tätig sind, und bietet eine zentrale Gelegenheit, sich zu vernetzen und zukünftige Entwicklungen zu diskutieren.

Weitere Informationen zur Veranstaltung finden Sie hier.

Auch das Fraunhofer IESE nimmt mit einem Vortrag daran teil.

Sonntag, 09. November 2019
Growing Smart Farming Services – How to get the best out of Farming Data
Susanne Braun, Fraunhofer IESE

In this talk, John Deere and Fraunhofer IESE will share best practices and lessons learned on the way to successfully realizing innovative smart farming services. Like John Deere, a lot of enterprises in the agricultural sector are sitting on a lot of data, but they often do not (yet) treat this data as an asset, like they do, for example, their industrial facilities. Even though farming data has the potential for the creation of new business models, most ag enterprises do not know which data they possess, as it is spread across different data silos of complex and historically grown application landscapes. This means that nurturing of data or rather maintaining high data quality is a big challenge. In addition, the overall problem is usually addressed from a purely technical standpoint only, using bottom-up approaches for the creation of all-encompassing data catalogs. This is a cumbersome task that requires a lot of time and effort to accomplish, which is often an obstacle to achieving short time to market. Even if a company has a perfect overview of their data assets, they still have problems leveraging it. It is hard to come up with innovative data-driven services by looking only at a large data catalog. Seamless collaboration of cross-functional teams staffed with different roles like software architects, data scientists, business experts, and end users is, we believe, more crucial for the successful realization of smart farming services.

In a joint research cooperation, John Deere and Fraunhofer IESE developed an agile engineering method for the value-driven creation of smart farming services. We will present our method, which starts with different design thinking techniques in order to initially populate our backlogs with concrete data-driven stories that are of true value to farmers. We will also present a data science notation that we developed to facilitate the targeted analysis of the data science requirements of data-driven stories. We soon realized that tool support for this notation was crucial in order to foster interdisciplinary collaboration and knowledge dissemination in our cross-functional team.

We will use a real-world need that farmers have to present our method and demo the tool. In practice, farmers often struggle with the following challenge: “How to effectively, yet sustainably, apply spraying products in the field?” By processing and analyzing data from different data sources, we are able to provide a smart farming service that can generate application maps addressing this need. Our smart application maps ensure that the products have maximum effect, but that this effect is limited to the crop. In particular, by using these smart application maps, the farmer can safely guarantee that water bodies and other areas requiring special protection will not be covered by the product.