Innovations - PhenoTest

PhenoBob

The PhenoBob is a self-navigating vehicle with a camera system for the image-based analysis of plants. While driving through a plot, the combined colour and near-infrared cameras take a series of images. The individual images are automatically compiled into a high-resolution overall picture of the plot. Plants are automatically detected and located using the recorded images. 

Using the RTK GPS coordinates of each individual plant allows the PhenoBob to relocate them in the plot, repeated measurements of the plot then tracks their leaf area over time – this applies both to beet plants and weeds. The automatic distinction between beet and weeds is drawn using an algorithm that has been trained with the help of artificial intelligence. In this way, the dynamics of field emergence and the development of the leaf areas in the trial plots are determined – from the moment of emergence through to the 6-leaf stage.

Our innovations

BlueBob® - Chopping tool

BlueBob®

Prototype for a chopping robot for mechanical weed control in sugar beets.

PhenoBob is analysing sugar beets on the field.

PhenoBob

The Der PhenoBob is a self-navigating vehicle with a camera system for the image-based analysis of plants.

Image of the developement of a healthy sugar beet

PhenoTest

The PhenoTest is an automated, patented testing method for 4D-phenotyping.

Hugo-Junkers award

Hyperspectral scanner

The hyperspectral scanner is a programme for early diagnosis of disease.

Harvested sugar beets are washed in the Weber Cleaner

Weber cleaner

The Weber cleaner is a stone separation facility for sugar beets for biogas production.

Seedinspector CT

Seedinspector and CT

Examination of the beet seeds with high-throughput micro-computer tomography (CT).

BlueMobile 4

BlueMobil

The BlueMobil is a technology for trial and plot harvesting with simultaneous sampling.

Strube 2D X-ray beet balls

2D X-ray images with automatic image analysis

First two-dimensional reconstruction of the seed based on X-ray images.