Project

prospective.HARVEST

Methods and technologies to provide proactive planning and controlling of cooperative agriculture

Methods and technologies to provide proactive planning and controlling of cooperative agriculture

  • Duration:

The aim of this joint project is the realization of an infrastructure to provide proactive support for agriculture processes, taking silage maize harvesting as an example of use. The key component is the integration of data from sources that are already available, yet unused in this application scenario so far. The data comes from farm management systems, as well as the machines themselves, public geo-information infrastructures (such as Copernicus) and other external sources (e.g., harvest forecasts).

The research department ASR contributes especially to logistics and to the usage of agent technologies in service-oriented architectures. This includes both the control of logistic processes as well as the interplay between technologies and process modelling and process execution tools. Specifically, the subproject “Predictive Planning” specifies, implements, and evaluates a system modeling logistics processes in corn harvesting based on maturation, biomass, reachability for vehicles, available resources, and distances.

Partners

CLAAS E-Systems KGaA mbH & Co KG, CLAAS Selbstfahrende Erntemaschinen GmbH, 365 Farmnet GmbH & Co KG, green spin GmbH, Hochschule Bochum, 52° North Initiative for Geospatial Open Source Software GmbH

Sponsors

Bundesministerium für Ernährung und Landwirtschaft

2815700915

Bundesministerium für Ernährung und Landwirtschaft
Bundesanstalt für Landwirtschaft und Ernährung

Bundesanstalt für Landwirtschaft und Ernährung
Projektträger Bundesanstalt für Landwirtschaft und Ernährung

Projektträger Bundesanstalt für Landwirtschaft und Ernährung

Publications about the project

Juan Carlos Saborio Morales, Joachim Hertzberg

In: Proceedings of the 10th International Conference on Agents and Artificial Intelligence. International Conference on Agents and Artificial Intelligence (ICAART-2018) 10th January 16-18 Funchal Madeira Portugal Pages 85-93 2 ISBN 978-989-758-275-2 Scitepress Setúbal, Portugal 2018.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz