Precision farming in crop and livestock productionPhoto: ATB
Researching for a sustainable primary production
The research program is dedicated to site-specific sustainable intensification in the area of primary agricultural production all the way to harvesting.
Our research ranges from a comprehensive online data collection to modelling and process control. Technological and process engineering tasks include sensor-based technologies for precision farming and precision horticulture, the modelling of emissions and of the microclimate in naturally ventilated barn systems as well as the interaction between housing environment and animal welfare. The system assessment is analysing interactions and effects in relation to environment and economy. Here, we concentrate on nitrogen, greenhouse gases and water.
One focus of our research is to develop and apply sensors for assessing the condition of soils, plants and animals. Information on system parameters such as nutrient supply, plant growth, disease pressure, climatic conditions, water demand, respiratory rate, heat stress, fruit ripeness or others can be recorded. Information collected in-situ integrates into the development of complex physiological and physical models. Online analysis is an essential element of individual and flexible process control.
Crop production is of central importance for the bio-economy: plant biomass not only provides food and animal feed, but is also the basis for bio-based materials and energy.
The global sustainability goals outline the current challenges for precision crop production: to increase productivity while using natural resources in a sustainable manner, to preserve biodiversity, ecosystems, soil fertility and natural habitats, to reduce the impact of invasive species and to ensure that chemicals are managed in an environmentally sound manner.
We are thus working on solutions for sensor-supported local resource management in precision agriculture and precision horticulture. The aim of our research is to increase the efficiency of plant production, in particular by means of adaptive process control and the development of technical solutions for individualized plant production, thus reducing consumption of natural resources, the use of chemicals and of emissions.
Innovative sensor technologies are opening up new possibilities in the field of data acquisition (information and communication technology, telemetry and robotics), processing (Big Data) and analysis of data (genomics, phenomics and bioinformatics). They are fundamental tools in the digital transformation process that agriculture is facing. The information obtained is used to develop complex physiological and physical models that enable precise control of production processes in the sense of a sustainable intensification.
Animal husbandry concepts should integrate the three pillars of sustainability - environment, society and economy. Solutions have to be found in the area of conflicting interests. While the public's desire for improved animal welfare and more environmental protection is growing, the economic imperatives for the survival of farmers must also be taken into account to ensure that innovative processes can find their way into practice.
We therefore focus our application-oriented basic research in animal husbandry on the improvement of animal welfare, housing environment, animal and environmental protection and on maintaining economic competitiveness. Our goals are: objective animal welfare standards, concepts for solving environmental conflicts, transparent animal husbandry, consumer acceptance and added value from a regional production.
To the team of the research program 'Precision farming in crop and livestock management'
XAI-Mobil – Towards Reliable Artificial Intelligence for Explainable, Interactive and Self-evolving Systems ▶
Project within the framework of the mobility funding programme of the Sino-German Center for Research Promotion with researchers from Sun Yat-sen University and the ATB or the University of Potsdam on the topic of Reliab…
The aim of the Explaining 4.0 project is to develop methods that make a significant contribution to a holistic -global- understanding of AI models. Efficiency (through a priori knowledge), comprehensibility (through sema…
Deutsch-Chinesischer Workshop – Internationaler Workshop zum Einsatz smarter Sensoren auf kleinen Betrieben in China und Deutschland - zur Steigerung der Nachhaltigkeit und Produktivität der bäuerlichen Landwirtschaft ▶
Report from the conference: Between June 30 and July 5, the Sino-German Agricultural Centre (DCZ) Science & Technology (S&T) platform in cooperation with the Chinese Academy of Agricultural Sciences (CAAS) and the Leibni…
ALCIS – Sensorbasierte Fernsteuerung des Wassermanagements und sensorbasierte Überwachung des vegetativen Zustandes gartenbaulicher Kulturen - ein Low Cost System aus integrierten Netzwerkknoten und Kommunika… ▶
The focus of ALCIS is the irrigation management of agricultural crops. The goal is to develop a cost-effective sensor-controlled network node system for soil-plant-atmosphere measurements and its integration into an ICT …
OptiNutrient - Konzeptphase – Vermeidung von Abfall und Ressourcenverlusten durch geschlossene Nährstoffkreisläufe in Agrarsystemen der Zukunft - Konzeptphase: ▶
Goal of the OPTINUTRIENT joint project - for which a detail concept is being created - is the achievement of maximum material and energy efficiency in the production of food, feed and biogenic nutrients and raw materials…
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