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Collaborative project: Co-operative project: Sensor supported control system for resource preserving irrigation of field and fruit vegetables by means of close range photogrammetry - Subproject 1 (Project)

The PLANTSENS system has been developed to analyze the water supply state of a horticultural crop and to trigger georeferenced watering when needed. The sensory system is based on methods of short range photogrammetry combined with remote measurements of reflection and crop surface temperatures. Data and trigger transfer are conducted wireless. Within a glasshouse the sensory system will be fixed...


Funding period: 2017 - 2020

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Collaborative project: Optimization and practical testing of an assistance system for crop protection - subproject C (Project)

Within the project "Assistance system for site specific application of pesticides" an overall system was developed, in which site specific application maps for sustainable and resource-saving crop protection are planned, generated and documented by using automated integration of various web services. This assistance system, consisting of the web GIS application "AssSys - WebPortal" as an...


Funding period: 2021 - 2023

Relevancy: 100%

SFB 670 TP Z: Coordination, Imaging, Animal Facility (Project)

Coordination, Imaging, Animal Facility


Funding period: 2006 - 2010

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Low-Energy Greenhouse (Project)

no details


Funding period: 2013 - 2018

Relevancy: 100%

Herbicide tolerance of poplar and willow species (Project)

no details


Funding period: 2010 - 2017

Relevancy: 100%

Nature conservation in ecological focus areas – practical handbook and scientific support (Project)

Within the framework of the Common Agricultural Policy farms with more than 15ha arable land must manage 5% of their area as an ecological focus area. How were these areas used previously? How valuable are they for nature protection? Biodiversity in agricultural landscapes declines significantly. The recent reform of the Common Agricultural Policy (CAP) of the European Union focuses on ecological...


Funding period: 2015 - 2016

Relevancy: 100%

SYNBREED A1: Statistical methods for genomic breeding value estimation, classification and performance prediction (Project)

In order to exploit new options provided by high-throughput techniques in plant and animal breeding, there is a need to develop new and efficient statistical methods. Modern marker techniques (SNPs), which allow a dense coverage of the genome, hold particular promise for genomic selection and breeding value estimation. This approach differs from previous approaches to QTL- and association mapping...


Funding period: 2009 - 2014