Translated title of the contributionSynthetic data generation methods for training neural networks in the task of segmenting the level of crop nitrogen status on UAV images of agricultural fields
Original languageRussian
Pages (from-to)20-33
Number of pages14
JournalВестник Санкт-Петербургского университета. Прикладная математика. Информатика. Процессы управления
Volume20
Issue number1
DOIs
StatePublished - 2024

    Research areas

  • UAV images, deep learning, machine learning, nitrogen level segmentation, remote sensing data labeling, smart agriculture, synthetic data generation

ID: 118832045