News about Tieton

A new (non-destructive) method to identify decay and ripening stage of cherries

Post-harvest​

07 Dec 2023

The approach shows excellent performance in cherry recognition. It is remarkable that the training time of Swin Transformer and MLP was only 78.43 seconds (when in the absence of MLP the training time was 551.24 seconds) and that their recognition accuracy peaked at 98.5%.