A token label for maturity prediction using current-future changing rate

Abstract

Fruit inside a container is difficult to disclose enough information to allow us to acknowledge its future expiration in real-time in the logistics and fruits transportation. Primarily owing to this, we notice the food expires after the expired signal appears, causing 40% of global fruit waste. This work proposes a maturity token label using the current-future changing rate with a sequence-to-sequence model to regularly adapt to each scenario of the surrounding environment during the maturity lifecycle. The intelligent container then notifies us about the future expired signal to enable remedy in transportation to prevent fruit loss.