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Search for: fh62VKoX2FU0lEOwkF43GA7tzz7cUk55eQG9OuEGpGyuFcwfwqofu1SOH9bhwXJO, 10 of 7899 ResultsSorting
Relevancy: 21%
Reduction of food and quality losses in apple (Malus x domestica) through optimized storage methods (DCA-CF storage) (Project)
...The storage room atmosphere here has an oxygen content below 1% by volume, which is regulated as a function of the fruit's own fermentation products. ...For economically important apple varieties, experimental variants such as e.g. different maturity stages, fruit size classes formed. ...Once the causes have been identified, a recommendation for optimized DCA storage will be prepared and its feasibility will be reviewed. WP (work package) 1: Preparation of a preliminary design plan. WP 2: The individual-fruit specific CF-measurement and the determination of the individual-fruit-specific ACPs are tested on important apple varieties. ...
Funding period: 2019 - 2022
Relevancy: 21%
Investigation of the early use of horses and possible measures to prevent physical or psychical overload (Project)
...In the sub-project of the FU, we focus on the investigation and evaluation of the behaviour of horses at the beginning and in different stages of training by observing spontaneous behaviour as well as conducting targeted behavioural tests (e.g. ...These behavioural surveys are supplemented by electroencephalographic examinations, i.e. recordings of the electrical activity of the cerebral cortex, which, beyond the observable behaviour, allows conclusions to be drawn about the arousal and attention states of the animals....
Funding period: 2022 - 2027
Relevancy: 21%
Digital Farming Group (Project)
...Particularly promising approaches are demonstrated, tested and evaluated at the LfL's teaching and technical centers as well as on pilot farms. This also applies to technologies for which the available knowledge is insufficient or not resilient (e.g. automtatic hoeing, variable rate applications, animal sensors). ...
Funding period: 2017 - 2021
Relevancy: 21%
Mycotoxins and mycotoxin metabolites in fruits and vegetables; influence of type, storage, cultivation (Project)
...The quality of plant products is primarily based on the content of value adding compounds, e.g. vitamins and phytochemicals, as well as of toxins, for instance mycotoxins. ...The aim of this project is to compare plant foods from, e.g. different farming systems, fertilizing strategies or farming areas as well as processing methods and ready products in the household, with regard to their content of phytochemicals, vitamins as well as mycotoxins. ...Valuable ingredients can be better preserved by an optimized storage at product specific temperature – generally 1 – 3°C for insensitive products (except tropical fruit) – or under controlled atmosphere. ...
Funding period: 2001 - 2018
Relevancy: 21%
Investigation of the soil and root layer system under grassland (Project)
...In this project, the technique of micro X-ray computed tomography (µCT) will be applied to simultaneously analyze the three-dimensional root system as well as the pore space structure in undisturbed soil as a function of management and over time annually (Kuka et al., 2013). ...Kuka, K.; Illerhaus, B.; Fox, C. A.; Joschko, M. (2013): X-ray computed microtomography for the study of the soil-root relationship in grassland soils. ...
Funding period: 2021 - 2023
Relevancy: 21%
Nutritional Effects of Agricultural Diversification and Commercialization in Children in Zambia (Project)
...Stunting in children is 46.7% in Zambia, and even 51.7% in Eastern Province. ...
Funding period: 2014 - 2015
Relevancy: 21%
Ticks and tick-borne diseases, investigations about biology of ticks and tick-borne diseases using the epidemiological example of Tick-borne-encephalitis-virus-(TBEV) infection (Project)
...Res., 13:267, DOI: 10.1186/s12917-017-1192-3. Klaus, C., Diller, R., Hasse, E.E., Hoffmann, D., 2017. ...Wochenschr., 131, 483-489, DOI 10.2376/0005-9366-17029. Rieille, N., Klaus, C., Hoffmann, D., Péter, O., Voordouw, M.J., 2017. ...Res., 13:217, DOI: 10.1186/s12917-017-1136-y. Klaus, C., Hoffmann, D., Hoffmann, B., Beer, M., 2016. ...
Funding period: 2001 - 2020
Relevancy: 21%
ERA-IB: Production and processing of 2,3-butanediol from biomass (PUBB), sub-projects 5: Fermentation raw materials (Project)
...The objective of the overall project was the development of an efficient fermentation process to produce the platform chemical 2,3-butanediol (2,3-BD) from low-cost renewable feedstock. 2,3-butanediol is a valuable chemical useful as anti-freeze and as raw materials for pesticides, pharmaceuticals, plasticizers, fragrances, moistening agents etc. Further on 2,3-BD can be used for the production of 2-butanone, a fuel additive and for conversion to 1,3-butadiene (1,3-BD), a multi million ton bulk chemical mainly used for the production of synthetic rubber, polyamides and other plastic materials. ...Steaming refining was optimized with regard to humidity of starting material, temperature (170°C – 220°C), time (5 – 30 min) and addition of catalysts (with and without SO2). ...
Funding period: 2009 - 2012
Relevancy: 21%
Collaborative Project: AI-supported optimization of the application of NIR/MIR sensors in agriculture - subproject A (Project)
...Within the framework of this project, two major problems which arise in agriculture due to the use of NIR/MIR sensors are to be addressed and tackled. This concerns 1) the AI based classification of spectra (e.g. for the automatic detection of sample types like maize vs. grass or for traceability) and 2) the AI based online sensor standardisation. Numerous factors influencing the spectra must be taken into account to improve the prediction accuracy, e.g. the correct selection of the substrate (e.g. corn vs. grass), the temperature etc. ...The development and use of appropriate AI (machine learning) tools should be based on interpretable classification algorithms for categorical variables (e.g. learning vector quantizers, LVQ) and non-linear regression algorithms for numerical variables (e.g. ...
Funding period: 2021 - 2024
Relevancy: 21%
Collaborative project: AI-supported optimization of the application of NIR/MIR sensors in agriculture - subproject B (Project)
...Within the framework of this project, two major problems which arise in agriculture due to the use of NIR/MIR sensors are to be addressed and tackled. This concerns 1) the AI based classification of spectra (e.g. for the automatic detection of sample types like maize vs. grass or for traceability) and 2) the AI based online sensor standardisation. Numerous factors influencing the spectra must be taken into account to improve the prediction accuracy, e.g. the correct selection of the substrate (e.g. corn vs. grass), the temperature etc. ...The development and use of appropriate AI (machine learning) tools should be based on interpretable classification algorithms for categorical variables (e.g. learning vector quantizers, LVQ) and non-linear regression algorithms for numerical variables (e.g. ...
Funding period: 2021 - 2024
