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This dataset is the final product of research through the projects ANTARES (grant agreement No. 739570) and CYBELE (grant agreement No. 825355). The dataset consists of yield, protein content and selective harvesting soya maps at a resolution of 10 m. These maps were created by satellite images and soil properties data using machine learning algorithms. Maps are located in the Upper Austria region. Files with the name of "map yield" contain information about yield amount per pixel, while files with "map protein" denote parcels with predicted protein content. Also, the same protein map files contain an additional class column. Class 1 indicates pixels where soya have good quality (protein content > 41), while class 2 represents poorer quality.
Predicted yield, protein and selective harvesting maps
Predicted yield, protein and selective harvesting maps
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 3 |

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