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Networking and Transfer Project for Digitalization in Agriculture

Involved Institutes BW Institute of Farm Economics

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Networking and Transfer Project for Digitalization in Agriculture

The large number of research activities in the field of digitalization in agriculture initiated by the Federal Government within the last few years are evaluated in this project, involved researcher are networked with each other and the results are prepared, evaluated and published.

Background and Objective

The Federal Government has initiated a large number of research activities, which will make valuable contributions to the development of digitalization in agriculture, to use the opportunities of this sector and to identify possible regulatory requirements.

The aim of this project is to compile and evaluate the huge number of contributions from science and research according to a defined method, to finally network the respective researchers, to give advise to the politicians and to inform the public.


  1. Scientific conception of the procedure and establishment of a steering committee including institutions, organizations and associations
  2. Evaluation of technological developments of the research projects of the Federal Ministry of Food and Agriculture (BMEL) and the industry
  3. Analysis of the consequences the technology has to use opportunities and minimize risks in the topic area of digitalization in agriculture
  4. Suggestions for support initiatives in digitalization and further developments of the political and juridical frameworks
  5. Networking and transfer of knowledge to science, society and agricultural practice


The cost-benefit analyses carried out for selected applications of new technologies in weed control, fertiliser management and disease and pest control show that:

1. Spot spraying approaches offer potential savings in foliar herbicide application of the order of 50-70%, in some cases up to 90% of the application rate. However, they have so far only been successful in crops with high weed control costs, such as sugar beet or certain specialty crops. The closer the distance between the nozzles to be shut off, the greater the potential savings.
2. Determining nitrogen requirements using multispectral cameras on drones and satellites is particularly suitable for very heterogeneous sites. On more homogeneous and high-yielding sites and on large farms, tractor-mounted multispectral camera systems often offer a better cost-benefit ratio. Further research is needed to validate the systems in multi-site, multi-year field trials.
3. The approach of predictive models is to estimate the probability of pest occurrence and to omit full treatment measures when the probability of occurrence is low. However, the accuracy of these predictions is currently only in the order of 85%.

Involved external Thünen-Partners

Funding Body

  • Federal Ministry of Food und Agriculture (BMEL)
    (national, öffentlich)


5.2019 - 6.2022

More Information

Project funding number: 2819110618
Project status: finished

Publications on the project

  1. 0

    Hampe M, Spieth F, Walther S, Witte T de, Hölscher P, Umstätter C (2023) Digitale Technologien im Pflanzenbau. Braunschweig: Johann Heinrich von Thünen-Institut, 6 p, Thünen à la carte 12, DOI:10.3220/CA1674551190000

  2. 1

    Hampe M, Spieth F, Walther S, Witte T de, Hölscher P, Umstätter C (2022) Smart Farming - von der Entwicklung zur Anwendung in der Praxis: Handlungsempfehlungen für die Politik. Braunschweig: Thünen-Institut für Agrartechnologie, 2 p, Project Brief Thünen Inst 2022/31, DOI:10.3220/PB1659516163000

  3. 2

    Ammann J, Umstätter C, El Benni N (2022) The adoption of precision agriculture enabling technologies in Swiss outdoor vegetable production: a Delphi study. Precis Agric 23(4):1354-1374, DOI:10.1007/s11119-022-09889-0

  4. 3

    Hampe M, Walther S (2021) Ecological and economic potentials of digital technologies in weed management. In: Proceedings of the 4th Symposium on Agri-Tech Economics for Sustainable Futures, 20th - 21st September 2021, Harper Adams University, Newport, United Kingdom. pp 152-153

  5. 4

    Hampe M, Walther S (2021) Ökologische und ökonomische Potenziale digitaler Technologien im Unkrautmanagement. In: Kuratorium für Technik und Bauwesen in der Landwirtschaft (ed) Boden gut machen - neue Ackerbausysteme : KTBL-Tagung vom 16. bis 17. März 2021. Darmstadt: KTBL, pp 214-215

  6. 5

    Hampe M (2021) Unkrautpflanzen gezielter treffen. DLG Mitt "Pflanzenschutz - digital und intelligent"(11):12-15

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