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Collaborative project: Digital management support systems for small and medium-sized enterprises in value chains of ornamental plants, perennials and cut flowers - subproject 5 (Project)

The PlantGrid project aimed to develop a digital management support system for small companies in the value chains of ornamental plants, perennials and cut flowers. The project showed that modern machine learning algorithms can be effectively used for forecasting the sales of individual ornamental plants and the turnover of companies. Additionally, digital tools are helpful for organising...


Funding period: 2020 - 2023

Relevancy: 1%

Collaborative project: Identification of molecular markers for BYDV-resistance in maize – Subproject 3 (Project)

Barley yellow dwarf (BYD) is an economically important virus disease in cereals. With increasing winter temperatures, the impact of BYD on maize is expected to increase. The most effective method to control the BYD virus, which is transmitted by aphids, is to breed resistant maize varieties. The results of this study indicated that a BYDV infection had negative impacts on various plant...


Funding period: 2011 - 2014

Relevancy: 1%

Collaborative project: Increased efficiency through surface optimization for innovative fertilizer injection equipment. Subproject 3 (Project)

An option to counteract nutrient loss and unfavorable environmental impacts is optimally positioned fertilizer. Among the biggest obstacles when implementing low-loss fertilizers are tractive force and energy demands when spreading in sufficient depths. The goal of this project to significantly improve the strength of the innovative injection tools for both solid and fluidic fertilizers.


Funding period: 2017 - 2021

Relevancy: 1%

GeoCare: Geoinformation technology for protection of agricultural resources and risk management. Subproject 3 (Project)

The joint project 'DataPlant' combines data handling and analyzing techniques with the development of new sensor technology by targeting recognition and evaluation of Cercospora leaf blotch infestation in sugar beet. Start and course of disease severity are influenced by many parameters. Therefore the 'Big Data” approach is suitable to receive a deeper knowledge. Parameters from different data...


Funding period: 2016 - 2019

Relevancy: 1%

Collaborative project: Innovative LED luminaire for increased demands in agricultural livestock farming. Subproject 3 (Project)

The aim of the research project is to develop an experimental prototype LED lighting system, which can be used in livestock husbandry (pigs and cattle) in areas requiring a high level of cleanliness and with low ceilings. The main focus will be on the development of a lighting system which can replace traditional fluorescent strip lighting. One feature the lighting system must deliver is a light...


Funding period: 2017 - 2020

Relevancy: 1%

Collaborative project: Haplotype-based selection for climate-adapted elite winter wheat - subproject 3 (Project)

The HaploSelekt project aims to identify genome-wide haplotype blocks and their phenotypic effects on yield performance under limited water and nutrient availability in elite wheat lines, and subsequently to develop computer-based crossing schemes to enrich beneficial haploblocks in resilient, high-performing breeding lines


Funding period: 2019 - 2022

Relevancy: 1%

Collaborative project: Use of autonomous drones for sustainable plant production in greenhouses. Subproject 3 (Project)

An autonomous greenhouse drone has been developed within the FlyingData research project funded by the German Federal Ministry of Food and Agriculture (BMEL). It is based on a quadrocopter kit that has been equipped with new UWB radio localisation. It does not require satellite data and works day and night. Any route in the greenhouse can be flown autonomously using predefined route points. The...


Funding period: 2020 - 2022