Abstract¶
We demo open machine learning analysis and tools
1Case¶
According to Kerner et al. (2024) crop field boundaries are foundational datasets for agricultural monitoring and assessments but are expensive to collect manually.
- Kerner, H., Chaudhari, S., Ghosh, A., Robinson, C., Ahmad, A., Choi, E., Jacobs, N., Holmes, C., Mohr, M., Dodhia, R., & others. (2024). Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation. arXiv Preprint arXiv:2409.16252.