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RGB-SoilPotBarley: RGB images for nutrient deficiency recognition in single spring barley plants from pot experiment

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Title
RGB-SoilPotBarley: RGB images for nutrient deficiency recognition in single spring barley plants from pot experiment
Description
The dataset RGB-SoilPotBarley contains 35,343 RGB images of 8 time points 22. dec 2020 - 21. jan 2021 of four genotypes of spring barley from a pot experiment in greenhouse at University of Bonn. The images are annotated by potnumber which encodes genotype and fertilizer management and have been taken for a Deep Learning approach for nutrient deficiency recognition.
Creator
Marion Deichmann
Publisher
Institute of Crop Science and Resource Conservation (INRES), University of Bonn
Publication Year
2024
Resource Type
Dataset
Identifier
b85f6422-64ab-4b3f-930e-f3d4449c5083
 

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