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Collaborative project: Cost-effective, autonomous platform for mechanical weed control of sensible crops planted at variable intervals in tree nurseries - Subproject 1 (Project)

In the AMU-Bot project, an automated, intelligent and economical solution for weed control in nursery crops was developed to interrupt the competition for nutrients between weeds and crops, especially in young growth stages. Building on the results of the "AgriApps" project, a robust and electrified mobile platform was developed that is capable of moving within planting rows in nursery crops....


Funding period: 2017 - 2019

Relevancy: 100%

Collaborative project: Cost-effective, autonomous platform for mechanical weed control of sensible crops planted at variable intervals in tree nurseries - Subproject 2 (Project)

In the AMU-Bot project, an automated, intelligent and economical solution for weed control in nursery crops was developed to interrupt the competition for nutrients between weeds and crops, especially in young growth stages. Building on the results of the "AgriApps" project, a robust and electrified mobile platform was developed that is capable of moving within planting rows in nursery crops....


Funding period: 2017 - 2019

Relevancy: 100%

Interpretative 3D plant architecture (Project)

The project D2 'Interpretative 3D plant architecture' is highly interdisciplinary in its methodology and approach, and is a tightly linked cooperation between five working groups: Wine research (WB) - D2 Töpfer Prof. Dr. Reinhard Töpfer, Julius-Kühn Institute, Geilweilerhof Computer Vision (CV) - D2 Cremers Prof. Dr. Daniel Cremers, TU Munich Artificial Intelligence (AI) - D2 Steinhage PD Dr....


Funding period: 2012 - 2014

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Detection of spatial and temporal patterns (Project)

The aim of this project is the highly accurate identification of features and the interactive mapping, linkage and interpretation of spatio-temporal patterns. This will support early identification of phenotypic traits that influence yield. Data from different subprojects will be quantified and linked together for the purposes of data mining and machine learning to acquire phenotypic...


Funding period: 2009 - 2014

Relevancy: 100%

Analysis of sugar beet form and structure based on 3D ground shots (Project)

The objective is developing techniques for model-based 3D reconstruction and classification of storage root geometry from tomographic data, i.e. data obtained from laser scans and MRI. Comparing different cultivars subject to different soil, management and environmental conditions. Furthermore the temporal variation of sugar beet growth is investigated by applying and generalizing regression...


Funding period: 2009 - 2014

Relevancy: 100%

Network server and data management (Project)

D5 is a service project to support coordination with respect to network administration and communication on a sharepoint server platform.


Funding period: 2009 - 2014

Relevancy: 100%

WeGa - Work Packages 1.3, 3.7 and 3.8 (Project)

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Funding period: 2012 - 2015