Fields of Application

Farming & Agricultural Engineering

The future food supply of an ever growing humanity is one of the key issues of our time. At the same time, climate change and globalization are placing increasing demands on a climate friendly and at the same time competitive agriculture. Intelligent technologies help to make agricultural production along the entire process chain sustainable, resource-efficient and environmentally friendly. They hold enormous potential for gentle land management and livestock husbandry that encourages animal welfare. This includes the networking and automation of agricultural machinery and knowledge sources, as well as the utilization of specific agricultural data, which provide reliable information for optimal decision support.

News

Seit dem 1. September 2021 hat Dr. Stefan Stiene eine Professur für intelligente Agrarsysteme an der Hochschule Osnabrück inne. Nach über 10 Jahren…

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The joint project "Stadt-Land-Fluss" (SLF) funded by the Federal Ministry of Food and Agriculture (BMEL) started on 1 June. The Eberswalde University…

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Gastbeitrag von Prof. Dr. Joachim Hertzberg, Leiter des Forschungsbereichs Planbasierte Robotersteuerung, DFKI Labor Niedersachsen

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Projects

Completing Training Data by Iteratively Learning Simulation

Machine learning methods based on existing training data have proven to be very effective in identifying patterns and implicit dependencies even in complex situations with many parameters and in…

Agrarwirtschaftlicher Gateway für Künstliche Intelligenz

Ziel von Agri-Gain ist es, der deutschen Agrar- und Ernährungswirtschaft den Einsatz von KI-Technologie zu ermöglichen. Die Vision ist eine Plattform, die KI-Bausteine bereits im Anwendungskontext zur…

Digital Agricultural Knowledge and Information

The Project “Digital Agricultural Knowledge and Information System” (DAKIS) contributes to the vision for spatially and functionally diversified agricultural systems of the future with the aim to…

Entwicklung eines nachhaltigen Kultivierungssystems für Nahrungsmittel resilienter Metropolregionen

Weshalb? Aus der Vielzahl an Auswirkungen der modernen Nahrungsmittelproduktion auf das System Erde sticht die Veränderung von P- und N-kreisläufen besonders hervor. Es ist die zentrale Zukunftsfrage,…

Sustainable protection and improvement of soil functions with intelligent land management strategies

Automation and optimisation are becoming increasingly important in agricultural processes. In addition improvements in efficiency, soil protection is gaining attention. The project SOILAssist-2…

Standardisierung der Geobox-Infrastruktur - Dezentrale Datenhaltung und regionale Vernetzung

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Partners

  • Technische Universität Darmstadt (TU Darmstadt)
  • Kuratorium für Technik und Bauwesen in der Landwirtschaft e.V. (KTBL Darmstadt)
  • Dienstleistungszentrum Ländlicher Raum…
Development of a forecasting model regarding fertilizer prizes

The project F-Predict is dedicated to creating a prediction model which can predict fertilizer prices. The experiences in financial forecasting which were gained in the project smart farming are used.…

Development of an image based detection system for monitoring areas of potato cultivation for an early detection of Phytophthora infestans deseases

The cultivation of potato plants is an important factor for food supply in Germany and in many other countries. The potato blight (Phytophthora infestans) is the most relevant threat for the potato…

Smarte Daten, Smarte Dienste. Landwirtschaftliche Datendrehscheibe für effiziente ressourcenschonende Prozesse

Das Projekt SDSD realisiert eine landwirtschaftliche Datendrehscheibe mit ausgewählten Diensten. Der Begriff SDSD bezeichnet ein offenes Ökosystem mehrerer Software-Komponenten, welches hersteller-…

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

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…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz