Scensory uses neural networks trained on robot-collected VOC time series to jointly identify fungal species and localize sources, reporting up to 89.85% species accuracy and 87.31% localization accuracy from short inputs under ambient conditions.
L., Kidd, S., Sorrell, T
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Scensory: Real-Time Robotic Olfactory Perception for Joint Identification and Source Localization
Scensory uses neural networks trained on robot-collected VOC time series to jointly identify fungal species and localize sources, reporting up to 89.85% species accuracy and 87.31% localization accuracy from short inputs under ambient conditions.