Greenhouse gas emissions data collection and cross-validation system

A system for greenhouse gas emissions data collection and cross-validation, comprising:

• a plurality of vehicle tailpipe emissions sensors installed on light and heavy duty vehicles in underground mine sites;
• a plurality of mine site environmental emission sensors;
• a plurality of distributed computing data interfaces installed on the vehicles;
• a plurality of wireless data transmissions integrated with the data interfaces;
• and
• a remote cloud data server and distributed computing cross validation AI algorithm;
• wherein the greenhouse gas emission data from the vehicles on the mine site is transmitted to one of the distributed remotely placed computing devices and gets cross-validated against the emission data from site-level environmental emissions sensors using the AI algorithm and the emission data is benchmarked against an acceptability threshold based on the emissions data from similar vehicles continuously accumulated using similar processes at the same mine site and globally, such that when a data anomaly is indicated by the algorithm, the algorithm provides auto-correction and, depending on severity, sends real-time service alerts to the user of the system.