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20212023
most citedTemporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks

55 citations · 156 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 10 cited

Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower

Jana Kierdorf, Ribana Roscher

Cauliflower is a hand-harvested crop that must fulfill high-quality standards in sales making the timing of harvest important. However, accurately determining harvest-readiness can…

cs.CV2022★ 39 cited

GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER

Jana Kierdorf, Laura Verena Junker-Frohn, Mike Delaney +6

This article presents GrowliFlower, a georeferenced, image-based UAV time series dataset of two monitored cauliflower fields of size 0.39 and 0.60 ha acquired in 2020 and 2021. The…

cs.CV2022★ 3 cited

Agricultural Plant Cataloging and Establishment of a Data Framework from UAV-based Crop Images by Computer Vision

Maurice Günder, Facundo R. Ispizua Yamati, Jana Kierdorf +3

UAV-based image retrieval in modern agriculture enables gathering large amounts of spatially referenced crop image data. In large-scale experiments, however, UAV images suffer from…

cs.CV2021★ 49 cited

Behind the leaves -- Estimation of occluded grapevine berries with conditional generative adversarial networks

Jana Kierdorf, Immanuel Weber, Anna Kicherer +3

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 es…

cs.CV2021★ 55 cited

Temporal Prediction and Evaluation of Brassica Growth in the Field using Conditional Generative Adversarial Networks

Lukas Drees, Laura Verena Junker-Frohn, Jana Kierdorf +1

Farmers frequently assess plant growth and performance as basis for making decisions when to take action in the field, such as fertilization, weed control, or harvesting. The predi…