Nitrogen deficiency in maize: annotated image classification dataset

Published: 4 August 2023| Version 1 | DOI: 10.17632/g7xnn2bm4g.1
, Filip Novoselnik,


1200 images were collected in the field in July 2023, in a 5-day window around flowering time of different genotypes. There were three N fertilization levels: N0, N69 and NFull, with no added N, 69 kg of added N and full fertilization with 136 kg added N, respectively. 238 genotypes were sown in augmented design, where some genotypes are replicated and the others are not. Images at different field rows were taken randomly between 7:30 and 11:00 AM. "TensorFlow_preprocessing.ipynb" notebook can be used for data preprocessing and generation of additional 1200- 3600 images in processes of augmentation and segmentation.


Steps to reproduce

Data collection was carried out with Canon 80D camera with an18-50 mm lens at 18 mm. Aperture priority mode was used with aperture set to f/8. The focus was set manually to approx. 1 m into the stands. The sensor sensitivity was set to ISO400. The images were taken using a tripod with 45° angle view on the plot.


Agricultural Science, Computer Vision, Nitrogen, Maize


European Regional Development Fund