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license: cc-by-4.0 |
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language: |
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- en |
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tags: |
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- soybean |
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- segmentation |
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- canopy_cover |
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- breeding |
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- phenotyping |
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- time-series |
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size_categories: |
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- 1K<n<10K |
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--- |
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raw | segmentation | plot canopy cover |
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We introduce a longitudinal field dataset to analyze soybean growth under varying environmental conditions. |
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It includes 17,247 high-resolution top-of-canopy RGB images collected across eight growing seasons in Eschikon, Switzerland, complemented by yield data and hourly weather data. |
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The dataset captures temporal variation in genotype responses to environmental stress, providing insights into growth dynamics and genotype by environment interactions. |
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High spatio-temporal resolution supports the identification of stress-tolerant genotypes and contributes to improved yield prediction and stability. |
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The data, including the images and segmentation masks, are available at the [ETH research collection](https://doi.org/10.3929/ethz-b-000742401). |
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Either copy the data to `/data` or replace `/data` in the file paths to your data folder directoy using a map call. |
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A more detailed readme will be added once the paper pre-print has been released. |
