Raptor Maps, a startup that originally intended to use drones with HD thermal cameras to gather data and use machine learning to analyze data on crops, has shifted to using the tech for monitoring solar farms.

By using Raptor Map’s machine learning-equipped drones, solar farm operators can gather data and diagnose issues down to each individual solar cell (not just the panel it’s part of) if they desire, assisting technicians on deciding how to optimize the solar farm’s operations.

To know more about how machine learning works for startups like Raptor Maps and what this could mean for the solar power industry, read the story: http://news.mit.edu/2019/raptor-maps-solar-drone-software-0130


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