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Relevancy: 2%

GRK 1070 SP 1.2: Optimisation of soil organic matter management under intensive cropping in the North China Plain (Project)

Intensive maize-wheat double cropping is a common plant production system at the North China Plains. More than 600 kg N/ha as mineral N fertiliser are applied annually while only 300 to 350 kg N/ha are removed with plant products. Despite of this extraordinarily high level of N-fertilisation, the yield potential in the common wheat-maize cropping system is by far not fully taped yet. Beside low N...


Funding period: 2004 - 2013

Relevancy: 2%

Altered productivity and carbon sequestration of German forests in the face of climate change: (i) model development with data sets of soil inventory (BZE) and European Level I monitoring plots and (ii) model applications on an expanded dataset of the National Forest Inventory (BWI) - WP-KS-KW. Subproject 7 (Project)

The german national forest inventory (NFI) is an important instrument for forest policy of the federal and state governments. It is also increasingly used for practice-relevant research on tree species distribution and site productivity. However, the data on soil and climate at the NFI sites are covered only unsatisfactorily. The primary objective of this research project is therefore to combine...


Funding period: 2014 - 2017

Relevancy: 2%

SFB 806 E1: Population Dynamics: Demographic Changes of Hunter-Gatherer Populations during the Upper Pleistocene and Early Holocene in Europe (Project)

The project investigates the demography of Upper Pleistocene and early Holocene hunter-gatherer populations. A bottom-up approach is developed to upscale up data obtained from key sites and regions to macro-scale areas defined by cultural context, the results being controlled by ecological and ethnographic parameters. Spatial as well as diachronic comparisons are used to identify sources,...


Funding period: 2009 - 2009

Relevancy: 2%

Collaborative project: Resource-efficient AI for Embedded Systems in Agricultural Machines - subproject F (Project)

The use of AI methods is particularly useful in agriculture, since the environment is characterized by a high dynamic, is not completely known and cannot be comprehensively controlled. First AI applications have shown significant process improvements, especially in the agricultural domain. However, the implementation of AI-based applications on mobile machines (on the edge) and specialized and...


Funding period: 2021 - 2024

Relevancy: 2%

Collaborative project: Project to develop an artificial intelligence for oenological technology - subproject F (Project)

To facilitate the work of winemakers, cellarers, cooperatives, traders and sommeliers, PINOT supports the human perception of nose, tongue and mouth with sensors and artificial intelligence. PINOT complements human perception with reproducible measured values that reflect the relevant sensory parameters. The measurements are made with sensors and the digitally available data are translated with...


Funding period: 2021 - 2024