Counting of grapevine berries in images via semantic segmentation using convolutional neural networks

L Zabawa, A Kicherer, L Klingbeil, R Töpfer… - ISPRS Journal of …, 2020 - Elsevier
The extraction of phenotypic traits is often very time and labour intensive. Especially the
investigation in viticulture is restricted to an on-site analysis due to the perennial nature of …

Automated image analysis framework for high-throughput determination of grapevine berry sizes using conditional random fields

R Roscher, K Herzog, A Kunkel, A Kicherer… - … and Electronics in …, 2014 - Elsevier
The berry size is one of the most important fruit traits in grapevine breeding. Non-invasive,
image-based phenotyping promises a fast and precise method for the monitoring of the …

[HTML][HTML] Towards automated large-scale 3D phenotyping of vineyards under field conditions

JC Rose, A Kicherer, M Wieland, L Klingbeil, R Töpfer… - Sensors, 2016 - mdpi.com
In viticulture, phenotypic data are traditionally collected directly in the field via visual and
manual means by an experienced person. This approach is time consuming, subjective and …

[HTML][HTML] An automated field phenotyping pipeline for application in grapevine research

A Kicherer, K Herzog, M Pflanz, M Wieland, P Rüger… - Sensors, 2015 - mdpi.com
Due to its perennial nature and size, the acquisition of phenotypic data in grapevine research
is almost exclusively restricted to the field and done by visual estimation. This kind of …

[HTML][HTML] Phenoliner: a new field phenotyping platform for grapevine research

A Kicherer, K Herzog, N Bendel, HC Klück, A Backhaus… - Sensors, 2017 - mdpi.com
In grapevine research the acquisition of phenotypic data is largely restricted to the field due
to its perennial nature and size. The methodologies used to assess morphological traits and …

Detection of single grapevine berries in images using fully convolutional neural networks

L Zabawa, A Kicherer, L Klingbeil… - Proceedings of the …, 2019 - openaccess.thecvf.com
Yield estimation and forecasting are of special interest in the field of grapevine breeding
and viticulture. The number of harvested berries per plant is strongly correlated with the …

[HTML][HTML] Detection of grapevine leafroll-associated virus 1 and 3 in white and red grapevine cultivars using hyperspectral imaging

N Bendel, A Kicherer, A Backhaus, J Köckerling… - Remote Sensing, 2020 - mdpi.com
Grapevine leafroll disease (GLD) is considered one of the most widespread grapevine virus
diseases, causing severe economic losses worldwide. To date, six grapevine leafroll-…

[HTML][HTML] Behind the leaves: Estimation of occluded grapevine berries with conditional generative adversarial networks

J Kierdorf, I Weber, A Kicherer, L Zabawa… - Frontiers in artificial …, 2022 - frontiersin.org
The need for accurate yield estimates for viticulture is becoming more important due to
increasing competition in the wine market worldwide. One of the most promising methods to …

An adaptable approach to automated visual detection of plant organs with applications in grapevine breeding

J Grimm, K Herzog, F Rist, A Kicherer, R Toepfer… - Biosystems …, 2019 - Elsevier
… a , Katja Herzog b , Florian Rist b , Anna Kicherer b , Reinhard Töpfer b , Volker Steinhage
a … Kicherer et al. (2017) have presented an overview on different phenotyping approaches …

[HTML][HTML] Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging

N Bendel, A Backhaus, A Kicherer, J Köckerling… - Remote Sensing, 2020 - mdpi.com
Grapevine yellows (GY) are serious phytoplasma-caused diseases affecting viticultural
areas worldwide. At present, two principal agents of GY are known to infest grapevines in …