- AgriCircle is the platform for digital innovations in agriculture. In addition to access to know-how and data, the network offers an exchange for the implementation of new approaches.
- Our core competencies are collection and evaluation of remote sensing data, data modeling, field trials and the development of web platform based agricultural services.
- Together with our partners from industry and research, we bring innovative solutions to the market with the aim of increasing the efficiency and sustainability of field management.
- Contact us and rely on a reliable development partner with whom you can advance your company.
Public sector sponsors
Together with our partners, we are currently working on a better data basis for soil assessment, infection and disease detection. An insight into current projects can be found here.
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Field-scale soil zoning
Soil zoning allows for the identification of similar soil zones within a field and the detection of similar soil properties such as clay, sand, silt and organic matter content, as well as pH and mineralization.
Knowing the properties of each zone, adequate treatment can be applied.
Project Partners: ESA, ETH Zürich, Lufa Nordwest, DroneHarmony
Project website: Precision Sampling
Krankheitserkennung im Weinbau mittels Hyperspectral und LIDAR Sensorik
Früherkennung der Befallslage im Weinbau mit Sensorik und Datentransfer in die AgriCircle Plattform
Soil moisture estimation
The maps generated via our machine learning based soil moisture estimation show the soil moisture both with and without vegetation. The soil moisture values are further adjusted by a stable integration with the DAISY model.
Vegetation-zoning based productivity maps
This product includes two outputs from two different sources: field scale soil zoning and vegetation zoning. The maps show the productivity ranking of zones within a field based on soil zoning map and vegetation zoning map.
The zone with the highest ranking is classified to be the zone having the highest productivity.
Growth rate maps
Growth rate maps are used in the identification of healthy regions within a field. By looking at the maps users can see which areas of their fields are under- or over-performing. This allows them to take required precautions before the yield potential of the field drops.
Fertilization issues map
Under normal conditions, agricultural farms are expected to have homogeneous texture, which means all the crops should grow with a similar growth rate. However, under some conditions, such as diseases, the growth rate of crops may alter.
The spatial anomaly maps show farmers which regions of their fields behave differently than other regions, to aid them to take necessary actions.
Several state-of-the-art optical and SAR data-based indices are in our library to provide insight to our users.
The ATLAS Project
AgriCircle is proud to be a part of the European Union's agricultural initiative, the ATLAS project. The goal of ATLAS is to achieve a new level of interoperability of agricultural machines, sensors and data services and enable farmers to have full control over their data and decide which data is shared with whom in which place.
ATLAS will build an open, distributed and extensible data platform based on a microservice architecture which will offer a high level of scalability from a single farm to a global community.
AgriCircle is one of many Partners which will work together to shape the future of European agriculture.
Project website: https://www.atlas-h2020.eu