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RGB-divCrops-LTFT-Halle2: RGB images for nutrient deficiency recognition of diverse crops in-field from 2022

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Title
RGB-divCrops-LTFT-Halle2: RGB images for nutrient deficiency recognition of diverse crops in-field from 2022
Description
The dataset RGB-divCrops-LTFT-Halle2 contains 6434 RGB images of 2 time points 3.+ 15. jun 2022 of barley, potatoe, rye, sugar beet and wheat from long-term field fertilizer trial at University of Halle. The images are annotated with crop 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
2023
Resource Type
Dataset
Identifier
df94d9e0-83ff-44e0-91f8-e77ea416f756
 

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