Large-scale Mapping of Mixed Crop Fields of Clover and Grass

We recently presented our preliminary results in large-scale mapping of grass-clover leys at “Græsland 2018”, the largest grass-clover event in northern Europe, hosted by DLF.

Using an ATV, numerous georeferenced images were collected a couple of days before the first harvest of the 2018 season. Using an automated segmentation of each image into grass (blue), clover (red), and soil (green), the spatial distribution of the three is qualitatively visualized across the field. The three sample images exemplify the corresponding distribution at the three points in space.

In the future, by mounting the camera directly on front of the harvester, the farmer can monitor his entire fields when harvesting, without the need for driving an ATV. This allows the farmer to optimize his fertilization strategy based on the condition and spatial clover/grass distributions of his fields.

For more information, contact Søren Skovsen.

Hierarchical Classification in Mixed Crops of Clover and Grass

Our previous work in pixel-wise classification of high-resolution RGB images of grass-clover leys into clover, grass, and weeds demonstrated state of the art accuracy.

Extending this work into a two-step classification scheme with corresponding  hierarchical labels, we have demonstrated an extended segmentation of clovers into the present species in the dataset: red clover (Trifolium pratense) and white clover (Trifolium repens).

The quantitative results of the segmentations on the hand-annotated test set are stated in the paper from the ICPA proceedings.

Qualitative results of the hierarchical segmentation on two images are shown below.

For more information, contact Søren Skovsen.