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README.md

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+We introduce a longitudinal field dataset to analyze soybean growth under varying environmental conditions. 
+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.
+The dataset captures temporal variation in genotype responses to environmental stress, providing insights into growth dynamics and genotype by environment interactions. 
+High spatio-temporal resolution supports the identification of stress-tolerant genotypes and contributes to improved yield prediction and stability.
+
 The data, including the images and segmentation masks, are available at the [ETH research collection](https://doi.org/10.3929/ethz-b-000742401).  
 Either copy the data to `/data` or replace `/data` in the file paths to your data folder directoy using a map call.