Claim · model-written summary
YOLOv8-DML reduced parameters by 18.6%.
- Taxon
- soybean
Glycine maxt0 - Outcome
- parameterse0
- Direction
- reductione0
- Value
- 18.6%e0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“achieving an 18.6% reduction in parameters”
t0“soybean leaf disease”
Title
Research on soybean leaf disease recognition in natural environment based on improved Yolov8
Chen Chen; Xiaolei Lu; Lei He; et al. Frontiers in Plant Science 2025. doi:10.3389/fpls.2025.1523633
Other claims from this paper (3)
- Method / resource YOLOv8-DML achieved mAP50 of 96.9%.
- Method / resource YOLOv8-DML improved mAP50 by 1.8% over original YOLOv8.
- Method / resource The model had superior overall performance to mainstream object detection models.