Automatic pest monitoring by cognitive image recognition with two cameras on autonomous vehicles

An automatic pest control monitoring system comprising:

• a pest control monitoring server;
• and
• at least one autonomous vehicle in communication with the pest control monitoring server, the autonomous vehicle comprising:
• a memory storing computer instructions;
• a communication interface;
• at least on alternate camera;
• a normal camera;
• and
• a processor, operably coupled with the memory, the communication interface, the infrared camera and the normal camera, which:
• simultaneously captures a normal image and a true alternate image containing the same portion of a crop;
• generates a composite image using the captured images;
• determines whether at least one pest is present by applying an object recognition algorithm to the composite image;
• and
• responsive to determining that at least one pest is present, automatically deploys reactive measures.

A computer program product automatically monitoring for pests on crops, the computer program product comprising:

• a non-transitory storage medium, readable by a processing circuit and storing instructions for execution by the processing circuit for performing a method comprising:
• generating a composite image using a normal image and a true alternate image containing a same portion of the crops, the images simultaneously captured by an autonomous vehicle equipped with a normal camera and at least one alternate camera;
• determining whether at least one pest is present by applying an object recognition algorithm to the composite image;
• and
• responsive to determining that at least one pest is present, automatically deploying reactive measures.