CPC A01M 1/026 (2013.01) [A01M 1/2011 (2013.01); G06N 3/08 (2013.01); G08B 21/182 (2013.01)] | 18 Claims |
1. A method comprising:
receiving location-related data, wherein the location-related data comprises elevation information, soil type, topographical information, current weather information, seasonal conditions information, or a combination thereof,
receiving sensor data, wherein the sensor data comprises sound information, motion information, heat information, moisture information, chemical information, or a combination thereof;
generating a termite detection score model by
generating training items based on the location-related data and the sensor data, each training item including
a collection of words or statistics representing environmental conditions of a respective structure at a geographic area, and
a label specifying a termite detection score for that respective structure;
applying each training item to a neural network model;
comparing output from the neural network model for each structure to the label specifying the termite detection score for that respective structure; and
based on the comparison, applying a loss function to modify aspects of the neural network model;
identifying a structure associated with a user;
generating, based on the termite detection score model, a termite detection score corresponding to the structure;
generating a termite presence alert based on the termite detection score; and
transmitting the termite presence alert to the user.
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