Claim · model-written summary
System detection time was 43.2 ms.
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Verbatim
e0“a detection time of 43.2 ms”
Title
A 1DCNN-GRU Hybrid System on FPGA for Plant Electrical Signal Feature Classification
Zhaolin Zhou; Xiaohui Zhang; Chi Zhang; et al. Applied Sciences 2025. doi:10.3390/app152111446
Other claims from this paper (4)
- Method / resource The system classified Aloe Vera signal features with 90.1% accuracy.
- Method / resource System power consumption was 4.95 W.
- Method / resource The approach improved data processing speed.
- Method / resource The approach reduced system power consumption while maintaining high classification accuracy.