RGB-divCrops-LTFT-Halle1: RGB images for nutrient deficiency recognition of diverse crops in-field from 2021
Simple
- Title
- RGB-divCrops-LTFT-Halle1: RGB images for nutrient deficiency recognition of diverse crops in-field from 2021
- Description
- The dataset RGB-divCrops-LTFT-Halle1 contains 8689 RGB images of 16 time points 9. apr - 19. aug 2021 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
- 2024
- Resource Type
- Dataset
- Identifier
- 5042b994-83c1-4653-8317-925140c2224a