Towards Infield Navigation: leveraging simulated data for crop row detection. (arXiv:2204.01811v1 [cs.CV])

Agricultural datasets for crop row detection are often bound by their limited
number of images. This restricts the researchers from developing deep learning
based models for precision agricultural tasks involving crop row detection. We
suggest the utilization of small real-world datasets along with additional data
generated by simulations to yield similar crop row detection performance as
that of a model trained with a large real world dataset. Our method could reach
the performance of a deep learning based crop row …

arxiv cv data detection navigation simulated data