Author
Listed:
- Yujie Zhang
(Institute for Breeding Research on Horticultural Crops, Julius Kuehn-Institut, Erwin-Baur-Street 27, 06484 Quedlinburg, Germany
Computer Graphics Group, Center for Sensor Systems (ZESS), University of Siegen, 57076 Siegen, Germany)
- Ahmed EL Menuawy
(Institute for Breeding Research on Horticultural Crops, Julius Kuehn-Institut, Erwin-Baur-Street 27, 06484 Quedlinburg, Germany)
- Katrin Fitza
(Institute for Breeding Research on Horticultural Crops, Julius Kuehn-Institut, Erwin-Baur-Street 27, 06484 Quedlinburg, Germany)
- Frank Marthe
(Institute for Breeding Research on Horticultural Crops, Julius Kuehn-Institut, Erwin-Baur-Street 27, 06484 Quedlinburg, Germany)
- Sven Reichardt
(Institute for Breeding Research on Horticultural Crops, Julius Kuehn-Institut, Erwin-Baur-Street 27, 06484 Quedlinburg, Germany)
Abstract
Quantitative flowering phenotypes are needed to support breeding and harvest management in Hypericum perforatum L. (St. John’s wort), but manual flower assessment is slow and difficult to standardize under field conditions. UAV-Hyp is a multi-temporal UAV RGB dataset containing 12,653 high-resolution images acquired at 26 measurement dates across the complete flowering period of 15 H. perforatum accessions. The images represent variable illumination, soil moisture, weed pressure, and developmental stages. The dataset provides 59,163 plant bounding boxes and 107,054 flower bounding boxes. As an application example, cascaded YOLOv8 plant and flower detectors achieved mAP@0.50:0.95 values of 0.977 and 0.950, respectively. UAV-Hyp supports scalable flower quantification and the development of time-series phenotyping methods for genotype comparison and quality-oriented medicinal-plant breeding.
Suggested Citation
Yujie Zhang & Ahmed EL Menuawy & Katrin Fitza & Frank Marthe & Sven Reichardt, 2026.
"UAV-Hyp: UAV Dataset for Remote Sensing-Based Phenotyping of Hypericum perforatum,"
Data, MDPI, vol. 11(8), pages 1-13, August.
Handle:
RePEc:gam:jdataj:v:11:y:2026:i:8:p:208-:d:2017181
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