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Research project (§ 26 & § 27)
Duration : 2018-10-01 - 2022-09-30

The era of digitally enhanced farming with rapid advances in genomics, sensor technologies, Internet of Things with the occurrence of vast numbers of other structured and unstructured data combined with new possibilities for aggregating and analyzing the data offer both potentials for a second green revolution and, at the same time, challenges for dairy farmers and industry. Roles are going to change. There is the risk that Austrian dairying can no longer determine the direction in the breeding goal and thus positioning their products because access to relevant data is not ensured in the future. D4Dairy project will address the challenges of the stakeholders along the dairy value chain, in particular of the farmers and the economic partners contributing to this project. The overall goal of D4Dairy is the generation of added value for herd management as well as the improvement of animal health, animal welfare and product quality by creating a well-developed (data) network and by exploiting the opportunities offered by new (digital) technologies and analytical methods. The specific objectives of D4Dairy therefore are a) to capture the enormous amounts of diverse data (theoretically) available on the farm and from other partners along the milk chain; b) to aggregate these data into one central database, assess different data communication methods in compliance with legal requirements and develop a concept of interoperability; (c) to perform complex and advanced analyses in order to detect risk factors and identify early predictors of health problems using big data approaches, mid-infrared spectra, genetic and genomic studies, mycotoxin detection and information about the impact of housing climate on animal health and welfare; (d) to develop data-based strategies to reduce the use of antimicrobials and implement quality assurance programs and (e) to provide the information obtained from the analyses for decision support using newly developed complex and innovative tools that are easy to apply, operate in real-time in an automated fashion, and whose results are easy to interpret. Crucial for successful implementation is trust in the data integration framework, which will need to address questions related to data “ownership” and data security, especially as regards cloud-based storage solutions. Farmers will only use an integrated system if they are confident that they can entrust their proprietary data to the system. To address and master these complex and interdisciplinary challenges, D4Dairy has assembled an internationally competitive, transdisciplinary Austrian science hub, uniting experts and researchers from universities, centres of excellence, other research organisations, domestic and international, professionals from national and international company partners along the dairy value chain (dairy farms and cattle breeders, dairies and milk processors, performance recorders, laboratories, animal health services, marketing and quality assurance organisations); stakeholder organisations and most importantly, national and international technology providers and most importantly, national and international technology providers (sensors, feeding, in-house climate, dairy equipment and instrumentation, data processing and ICT).
Research project (§ 26 & § 27)
Duration : 2017-09-01 - 2020-03-31

Social sustainable integration of disabled people (with rehabilitative social needs) in the working process of horticultural farms The objectives of the UN Convention on the Rights of Persons with Disabilities as well as of the Austrian Action Plan 2012 (for implementation of an inclusive society) are the full and effective participation of disabled people in society. This project will provide scientific evidence, which will contribute to the integration of disabled people in the working society. The overall goal of the project is to provide all necessary information for a successful cooperation between day-care centers for disabled persons and private horticultural farms. The creation of such possibilities for a collaboration will offer disabled people a participation in general working life. The identification of suitable working processes and tasks requires the compilation of culture related activity and ability profiles for working processes or tasks. In order to be able to find out which crops require what kind of working skills, the tasks and sub-tasks referring to the crops cultivated by up to 6 representative Austrian horticultural farms must be identified. The method used is the classification of REFA time studies. In order to determine the skills and needs of disabled people in day-care centers, it is necessary to capture their abilities, by creating ability profiles for up to 50 persons. Based on these ability profiles, it is possible to allocate and categorize the necessary tasks. The ability profiles will be created mainly by means of the well-proven “IMBA method” (Integration of persons with disabilities in a working environment). In order to set up a fruitful collaboration, horticultural farms and day-care centers will be interviewed about their interests, needs and expectations. On the basis of this information, it will be possible to give recommendations for a sustainable collaboration. Based on the surveyed results and identified requirements, a training concept for nursing staff, company managers and trainers will be developed and optimized in order to guarantee a high degree of working quality and job satisfaction for both parties in the project (social sustainability, which offers socially produced products). The efficient knowledge transfer of scientific results will be ensured by the production of blended learning material, a recommendation booklet and guidance of the implementation carried out in pilot companies.
Research project (§ 26 & § 27)
Duration : 2018-09-01 - 2023-08-31

EdiCitNet develops a reference framework on nature-based Edible City Solutions (ECS) for inclusive urban regeneration. It draws upon the vast pool of knowledge and practice of these re-conceptualised NBS, prospering to benefit of communities. More food consumed in the city is grown, produced and processed locally will foster social cohesion by encouraging ‘communities of practice’ and reduce the ecological footprint of cities. Planning for and implementing successfully proven ECS enhance overall urban resilience. EdiCitNet builds a constantly self-learning network of cities. The EdiCitNet consortium brings together city authorities, local NGOs, innovative SMEs and research partners from Europe, America, Africa and Asia, thereby laying the basis for a future global market place of ECS.

Supervised Theses and Dissertations