__ Feldklasse Zurama Precision hoeing technology for arable and vegetable farming

Our innovative ZURAMA selective hoe works both between and within the crop rows, removing weeds from almost the entire field or bed.

Thanks to its modular design, the hoe can be adapted to a wide range of requirements. By selecting different tool combinations, an in-row hoe can be configured specifically for crops grown from seed, such as sugar beet, or transplanted vegetables, such as cabbage.

Additional tool combinations are available to meet specific field conditions, including mulch systems.

Technical Data
  • 3–12 rows
  • Row spacing from 29 cm
  • Variable row-spacing adjustment
  • Working widths up to 3 m with a rigid frame and up to 8 m with a folding frame
Feldklasse Zurama 12-reihig im Einsatz auf einem Zuckerrübenfeld

First-class benefits for arable farming

The Zurama is designed for farms that want to hoe precisely between and within the rows. The AI-based camera system detects crops at an early stage and reliably distinguishes them from weeds.

AI camera system

Detects crops from the cotyledon stage onwards.

Up to 95% surface coverage

Hoes between and within the rows, leaving very little residual weed growth.

Row spacing from 29 cm

Can be flexibly adapted to different row widths.

Adapts as the crop grows

The tools are adjusted to the plants’ stage of development.

Suitable for many crops and growth stages

The Zurama can be used flexibly in arable and vegetable farming. It supports crops from the early growth stage until shortly before row closure or harvest.

Sugar beet & maize

From the cotyledon stage until shortly before row closure.

Cabbage

From one week after planting up to a plant width of approximately 30 cm.

Head lettuce

From one week after planting until shortly before harvest.

Herbs

Lemon balm, chervil, parsley, coriander and other crops until shortly before row closure.

AI-based plant recognition

The Zurama uses optical plant recognition developed in collaboration with the Czech tech start-up Ullmanna. Ullmanna specialises in the development of image recognition software.

The image-processing software is based on artificial intelligence (AI) and was trained in advance using images of sugar beet and other crops at different growth stages. This enables the system to distinguish crops from weeds in a similar way to humans, based on specific characteristics such as leaf shape, plant colour and the number of leaves. In sugar beet, this already works very precisely from the two-leaf stage onwards, even when the plants are surrounded by significantly larger weeds.

The system is programmed so that plant recognition can continuously adapt to current field conditions using the images captured during hoeing. For precise operation during both day and night, each camera is supported by four powerful LED lights.

Is the Zurama right for your arable farming operation?

Do you want to control weeds mechanically between and within the rows? Then the Zurama is a strong option for farms looking to work more precisely, reduce residual weed growth and flexibly adapt their hoeing technology to different crops and row spacings.

For the first step, we only need:
Crop, row spacing, working width, soil type and a brief description of your current application.
Enquire about the Zurama
Team von Feldklasse auf einer grünen Wiese