Kuheinzeln (2)

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Virtual fences: The GPS revolution that could save dairy farmers time (and money)

Imagine a world where your cows know exactly where to graze without the need for physical fences. This isn't science fiction. It's virtual fencing (VF), and a new study shows that it could fundamentally change pasture management for dairy farmers in temperate climates.

The grazing problem: Why fences are a challenge for agriculture

For decades, dairy farmers have used physical electric fences to control grazing—but this is labor-intensive and costly. As our study in Rangeland Ecology & Management explains, “Keeping large herds on extensive grazing lands can reduce grazing efficiency... one contributing factor is the significant labor required for physical fencing.”

In Germany (the focus of the study), only 6.8% of dairy farms with more than 500 cows use pasture land—a trend toward more indoor housing that is increasing as farms become larger. However, pasture-based systems offer real advantages: lower feed costs, better animal welfare, and even more climate-friendly milk production.

What is virtual fencing?

Virtual fences replace physical fences with GPS-enabled collars and software. When a cow approaches a virtual boundary, it receives an audible warning, such as a beep, followed by a mild electric pulse if it crosses the virtual boundary. No physical barrier is required. “Previous studies have not documented any negative effects of VF on the welfare of cattle.”

VF is not yet approved in Germany. When the time comes for farmers to be allowed to use the technology, it will still be crucial that VF must be used in conjunction with an external physical fence due to legal regulations in Germany. However, the internal fences can be replaced—the fences that farmers have to constantly move around for precise pasture management.

The big question: Is it worth the price?

The most valuable insight from the study? Virtual fencing is not a magic solution for everything—but with the right pasture management strategy, it can pay off.

There is no one-size-fits-all solution. The study tested four types of operations:

    • Stable housing systems (without grazing) → best for transitioning to grazing
    • Extensive systems (large pastures) → best for integrating nature conservation
    • Small-scale, extensive, and intensive systems → require careful management adjustments

The current study shows:

The labor savings are real: With VF, fence maintenance is no longer necessary, saving up to 1–2 hours per day. However, the labor intensity of using a VF system still needs to be determined through long-term experiments.

Economic profitability depends on the size of the farm: For farms with 150+ cows, VF could become cost-effective. Smaller farms (50 cows) incur losses due to the high acquisition costs of a VF system.

Management changes are crucial: Simply replacing fences is not enough. Grazing must be optimized. There are different strategies for different grazing systems:

  • Extend grazing time
  • Improvement of pasture utilization
  • Integration of ecosystem services (e.g., fencing off an area for nature conservation measures)

The conclusion for dairy farms

  1. It's not just about saving working time – it's about using pastures more efficiently. The study found that VF can reduce pasture residues by 10%, which means that basic feed performance can be increased, thereby saving on concentrate costs.
  2. GAP-Zahlungen sind eine Geheimwaffe. Die neue Gemeinsame Agrarpolitik der EU (2023–2027) bietet Zahlungen für:
    • Eco-Scheme 4 (Extensivierung): 100 €/ha
    • Öko-Schema 5 (Biodiversität): 225 €/ha
    • Die Nutzung von VF erleichtert die Qualifikation für diese Zahlungen. Die Situation könnte sich jedoch ändern, da die neuen GAP-Änderungen nach 2027 erneut diskutiert werden. Beispielsweise könnte ein größerer Anteil an ergebnisbasierten Zahlungen in die neue GAP-Architektur aufgenommen werden, was den wirtschaftlichen Wert der Nutzung des VF-Systems weiter erhöhen würde.
  3. With the further development and spread of VF systems, technology and data transmission costs will fall. Combined with economies of scale, this will make VF systems more economically viable for all types of businesses in the future.

Virtual fencing is not (just) about replacing fences—it is about rethinking pasture management. As the researchers conclude, “VF has the potential to support ecological sustainability in grassland ecosystems by improving land use practices.”

The vision is a smarter, more efficient use of grassland—controlled by GPS, not wire. And as this study shows, that future is closer than you might think.

Source: Kiefer, A., Isselstein, J., & Bahrs, E. (2025). Economic evaluation of virtual fence technology in dairy farms: A model study in temperate climates. Rangeland Ecology & Management. DOI: https://doi.org/10.1016/j.rama.2025.09.014.

Preicision Grazing: How cows are shaping the future of pasture farming as ecosystem engineers

A blog post based on a new study from the journal ‘Basic and Applied Ecology’

At a time when agriculture and nature conservation often appear to be at odds with each other, a new vision is emerging: Precision Grazing – an intelligent, data-based form of pasture management that combines economic efficiency with ecological diversity. A groundbreaking study by scientists at the Universities of Giessen, Göttingen and Cologne now shows that cows are not just feed consumers, but true ecosystem engineers whose presence has a significant impact on the biodiversity of grasslands – and on a whole new level: spatially and temporally precise.

The big question: What really influences arthropod diversity in meadows?

Frank Jauker's research group examined a long-term experiment in the Solling region (Lower Saxony) in which three different extensive grazing management strategies were compared. The aim was to find out: Which factors have the greatest influence on arthropod populations – vegetation structure or the presence of cows?
The results are surprising:
The presence of cows had a much stronger influence on arthropods than vegetation alone.
This means that it is not only important how much grass grows on the pasture over the season, but also when, where and for how long cows have grazed. The study shows that the precise temporal dynamics of grazing – i.e. the small-scale frequency and duration of the animals' presence – are crucial for biodiversity.

Why cows are considered ecosystem engineers

Cows change the landscape in many ways:
  • Through selective grazing, they create structural heterogeneity (different grass heights, open and dense areas).
  • Trampling and manure production create microhabitats for insects and spiders.
  • They promote nutrient distribution and seed dispersal.
These processes have a long-term effect on pastures. However, the study shows that, when viewed on a small scale, many arthropod groups – such as spiders, flies and leafhoppers – react positively to the presence of cows in much shorter periods than a traditional grazing season. A particular effect was observed in ants: under extensive grazing, their populations respond positively to the duration of the cows' presence throughout the entire grazing period – a clear sign that cows change the environment not only in the short term, but also in the long term.
 

The power of data: GPS, drones and the future of pasture farming

The study used modern technologies to capture these spatial-temporal dynamics:
  • GPS collars on individual cows provided precise data on their movements and length of stay in 2.5 x 2.5 metre grid cells.
  • Drones (UAVs) equipped with RGB cameras recorded vegetation height and biomass in high spatial resolution.
  • When combined, these data show not only ‘what’ happens, but also ‘when and where’.
The researchers found that:
The field scale intensity (e.g. 4 cows per hectare per grazing season) was a poor predictor for arthropods.
In contrast, the spatiotemporally high-resolution presence of cows (e.g. 8 days before sampling on 100 m²) was much more important.
This is a crucial breakthrough: The future of pasture farming lies not in static rules, but in dynamic, data-based decisions.

What does this mean in practice?

The results open the door to ‘precision grazing’ – a form of pasture management that:
  • virtual fences (e.g. using GPS technology) to guide cows into specific areas.
  • Real-time data from GPS and drones is analysed to optimise grazing planning.
  • ecological objectives (such as biodiversity) and economic objectives (such as feed production) are harmonised.
Instead of distributing cows evenly across the entire field, they could be sent specifically to areas where they have the greatest positive impact on biodiversity – and kept away from ecologically sensitive areas.

Conclusion: Cows as partners of nature

The study confirms:
Cows are not ‘pests’ for nature, but potential allies. Their presence, when controlled in terms of space and time, can promote biodiversity – without economic losses.
The future of pasture farming lies in the integration of ecology and technology. With the right data and innovative management strategies, we can not only become more efficient agriculturally, but also preserve valuable grassland ecosystems – for animals, plants and us humans.

Further information and reference

  • Original study: Jauker, F. et al. (2025). Towards precision grazing: Spatio-temporal dynamics of the relation between cattle, vegetation, and arthropods. Basic and Applied Ecology.
  • Open Access: https://doi.org/10.1016/j.baae.2025.10.011
  • Funding: Gefördert vom Bundesministerium für Bildung und Forschung (BMBF)