Patent ID: 11922520
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-based method for automatically identifying significant events for food traceability for use by a distributed agriculture supply chain, comprising:
training a neural network to automatically identify significant events for food traceability, wherein the neural network comprises a plurality of artificial cells interconnected via a plurality of gates, and wherein each gate encodes a strength of a relationship in the connection between an output of one artificial cell and an input of another artificial cell, the training comprising:
receiving training data, wherein the training data comprises labeled event data for a plurality of farms over a plurality of days;
generating, by the neural network, a probability factor representing a chance that an event in the training data will be significant for food traceability; and
comparing the generated probability to the received labels;
in response to the comparison, updating the encoded strength of at least some of the gates;

receiving data from a plurality of sensors, wherein each of the sensors generates a series of events about a respective one or more of a plurality of agriculture supply chain entities;
automatically filtering, by the trained neural network, events in the plurality of series of events having a significance for food traceability less than a threshold; and
automatically selectively transmitting, by a network interface, only the data associated with the unfiltered events to a plurality of blockchain nodes of a distributed ledger.