Claim · model-written summary
YOLOv7-FWeed mAP was 0.9662 in soybean fields.
- Taxon
- soybean
Glycine maxe1 - Outcome
- mAPe3
- Value
- 0.9662e3
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“weeding experiments in soybean fields”
e3“The precision of the model was 0.9496, the recall was 0.9125, the F 1 was 0.9307, and the mAP was 0.9662”
Title
Weed detection in soybean fields using improved YOLOv7 and evaluating herbicide reduction efficacy
Jinyang Li; Wei Zhang; Hong Zhou; et al. Frontiers in Plant Science 2024. doi:10.3389/fpls.2023.1284338
Other claims from this paper (7)
- Method / resource YOLOv7-FWeed outperformed YOLOv7 and YOLOv7-enhanced in all evaluation indexes for weed detection in soybean fields.
- Method / resource YOLOv7-FWeed precision was 0.9496 in soybean fields.
- Method / resource YOLOv7-FWeed recall was 0.9125 in soybean fields.
- Method / resource YOLOv7-FWeed F1 score was 0.9307 in soybean fields.
- Recommendation Electrostatic spraying with a 10% herbicide reduction could be used for weeding in soybean fields.
- Intervention effect Herbicide reduction effectively controlled weed growth in soybean fields.
- Intervention effect Herbicide reduction did not hinder soybean growth.