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