Quantifying Nematodes through Images: Datasets, Models, and Baselines of Deep Learning

arXiv:2404.19748v1 Announce Type: new
Abstract: Every year, plant parasitic nematodes, one of the major groups of plant pathogens, cause a significant loss of crops worldwide. To mitigate crop yield losses caused by nematodes, an efficient nematode monitoring method is essential for plant and crop disease management. In other respects, efficient nematode detection contributes to medical research and drug discovery, as nematodes are model organisms. With the rapid development of computer technology, computer vision techniques provide a feasible solution for quantifying …

abstract arxiv crops cs.ai cs.cv datasets deep learning disease every images loss losses major management monitoring through type