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

Claim 11:
12. The system of claim 11,
wherein the labeled event data comprises a plurality of feature vectors containing time stamped events from a plurality of different farms in a plurality of different geographic locations that are growing a plurality of different crops in a plurality of different years, and labels identifying a plurality of significant events among the feature vectors; and
train the neural network to automatically identify patterns of event timelines that are repeated across the plurality of farms, characterized by goal, crop, soil properties, budget, and geographic data, wherein the training comprises:
presenting the plurality of feature vectors to the neural network;
generating, by the neural network, a probability factor representing a chance that a current event will be significant; and
comparing the generated probability factor to the labels.