most citedUsing depth information and colour space variations for improving outdoor robustness for instance segmentation of cabbage

3 citations · 3 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CY2021

Consideration of resilience for digital farming systems

Sebastian Boekle, Leon Koenn, David Reiser +2

Latest and current innovations of agricultural tech industry are increasingly driven by digital technologies. These digital farming solutions provide attractive advantages for farm…

cs.CV2021

Volume and leaf area calculation of cabbage with a neural network-based instance segmentation

Nils Lueling, David Reiser, Hans W. Griepentrog

Fruit size and leaf area are important indicators for plant health and are of interest for plant nutrient management, plant protection and harvest. In this research, an image-based…

cs.CV2021

Approach for modeling single branches of meadow orchard trees with 3D point clouds

Jonas Straub, David Reiser, Hans W. Griepentrog

The cultivation of orchard meadows provides an ecological benefit for biodiversity, which is significantly higher than in intensively cultivated orchards. The goal of this research…

cs.CV20213 cited

Using depth information and colour space variations for improving outdoor robustness for instance segmentation of cabbage

Nils Lüling, David Reiser, Alexander Stana +1

Image-based yield detection in agriculture could raiseharvest efficiency and cultivation performance of farms. Following this goal, this research focuses on improving instance segm…

cs.RO2019

Design, modelling and control of a novel agricultural robot with interlock drive system

David Reiser, Volker Nannen, Gero Hubel +1

A current problem in the design of small and lightweight autonomous agricultural robots is how to create sufficient traction on soil to pull an agricultural implement or load. One…