meteo-board/learning_examples/parts_per_mil_mq135_workaround_analog_esp32, branch master Entry for a contest https://git.alphara.art/meteo-board/atom?h=master 2023-11-04T18:31:33+00:00 figured dsm501a out 2023-11-04T18:31:33+00:00 Alphara 42233094+xAlpharax@users.noreply.github.com 2023-11-04T18:31:33+00:00 urn:sha1:097c457e47a7a61ce50267dd7204089702ed68c5 figured dsm501a out but needs a better integration since it is inconsistent with all the reporting Did some improvements, namely: 2023-11-04T15:45:12+00:00 Alphara 42233094+xAlpharax@users.noreply.github.com 2023-11-04T15:45:12+00:00 urn:sha1:9f33e5a68b0013a1f1a7aa010e246616df74bf60 - Researched some more about the pinouts - got mq135 to work with a workaround (because the library is complete CRAP) - Prepared to advance with the DSM for dust metrics - Hopefully a good enough collection of basic reads to comprise a comprehensive data bundle for the AI training, inference and public interest.