Hello dear.

I am looking for answer of a one billion dollars question:

I am curious that can we create a real-time connection between input dataset received by external sensors (such as soil moisture or soil EC, to name a few) of LabView and Deep Learning structure design by Google Colab? Any extension or magic codes?

If yes, it will be possible for me to finalize my real-time deep learning system that I have been working on it for a few weeks. with this integrated system, the satellite images captured by space platforms such as Landsat8 or Sentinel2 after processing in Google Earth Engine environment, delivered to Google Colab where a deep learning model use them as input to calculate my desirable output such as soil moisture, soil EC, content of nitrogen in biomass of crops, pest monitoring, and etc. I need a real-time complementary sources of data set such as those derived from external sensors of LabView to double check the results of my integral system. This real-time complementary source also help to my deep learning system to use them for what is so called transfer learning for new locations with rare data.