Toda et al. train a neural network algorithm for crop seed segmentation using synthetically generated datasets. The model achieves very high precision and is effective for a variety of seeds like barley, rice, and lettuce. Their approach will reduce human labor costs needed to prepare training datasets for similar algorithms for agricultural applications.
- Yosuke Toda
- Fumio Okura
- Daisuke Saisho
