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