TasselGAN: An Application of the Generative Adversarial Model for Creating Field-Based Maize Tassel Data
Machine learning-based plant phenotyping systems have enabled high-throughput, non-destructive measurements of plant traits. Tasks such as object detection, segmentation, and localization of plant traits in images taken in field conditions need the machine learning models to be developed on training...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science
2020-01-01
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| Series: | Plant Phenomics |
| Online Access: | http://dx.doi.org/10.34133/2020/8309605 |