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Collaborative project: New high-protein rapeseed feeds - scaling up an innovative process concept for processing rapeseed for the production of sustainable feed mixtures and their use in animal nutrition – Subproject E (Project)

A new, gentle process for processing rapeseed, the EthaNa-process, is to be further developed and optimized on a pilot scale. In consequence, development work will be carried out towards implementing a robust process leading to the production of sufficien amounts of rapeseed concentrate. In this way, the profitability of the EthaNa-process is evaluated and its competitiveness compared to other...


Funding period: 2023 - 2026

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Collaborative project: Development of alternative control strategies and methods for the control of the cicada vector Pentastiridius leporinus of the sugar beet disease 'Syndrome Basses Richesses' to ensure yield stability - subproject E (Project)

The overall objective is to develop effective and sustainable SBR control strategies to ensure the competitiveness of German sugar beet cultivation and to preserve the agronomic advantages of the crop for securing the supply of food and feed. To this end, methods are to be developed and optimized from various sustainable and environmentally friendly areas of integrated crop protection, such as...


Funding period: 2024 - 2027

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Collaborative project: Single-vine related remote sensing of growth and health status in steep-slope viticulture and their integration into a quality-oriented concept of selective machine harvesting - Subproject E (Project)

The 'QualiSelect' project is concerned with the development of single-vine precise mechanical grape harvesting in precision viticulture. Taking into account the goals within the framework of innovation promotion, the focus is on strengthening rural areas by preserving steep slope areas, in addition to the ability to innovate and adapt to changing cultivation conditions. Ensuring this requires the...


Funding period: 2024 - 2027

Relevancy: 1%

and continuously updating AI - subproject C (Project)

The project will develop scenarios for the consistent use of the Internet of Things and artificial intelligence (AI) along the food supply chain, from production to the consumer, to achieve significant improvements in the areas of consumer protection and information, monitoring of food quality and safety, and in terms of a possible reduction in food waste. The project achieves these objectives on...


Funding period: 2021 - 2024

Relevancy: 1%

Collaborative project: Acoustic resonance analysis for quality detection of horticultural products – using the example of hollow white asparagus and mealy pome and stone fruit – Subproject 2 (Project)

The objective of this project is the development of an automated online sensing system for reliable and non-destructive classification of hollow white asparagus, mealy apples and woolly peaches. Specific quality determination will be realized on the basis of acoustic resonance analysis. After acquisition of acoustic fingerprints and the development of algorithms the assessment by comparing...


Funding period: 2008 - 2011