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    M5 scales kit query

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    • B
      bdonnachie
      last edited by

      The instructions for the ‘M5Stack Scale Kit with Weight Unit’ state that no side of the cover plate should exceed 50cn (see https://docs.m5stack.com/en/app/scales_kit).

      Is there any technical reason why the cables couldn't be extended and the scales used to weigh a beehive?

      Many thanks.

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      • ajb2k3A
        ajb2k3
        last edited by

        It is possible but you may have issues with incorrect readings

        UIFlow, so easy an adult can learn it!
        If I don't know it, be patient!
        I've ether not learned it or am too drunk to remember it!
        Author of the WIP UIFlow Handbook!
        M5Black, Go, Stick, Core2, and so much more it cant be fit in here!

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        • C
          crami25
          last edited by crami25

          Incorrect readings ??? I never use a sensor without calibrating it... We had a discussion on that using the RGB sensor unit 3 years ago .... As we have a proverb in Germany :
          Mist rein ---> Mist raus --- Garbage in --> garbage out.

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          • C
            crami25
            last edited by

            Addendum:
            I will be testing different scale sensors monitoring the weight of bee hives and transmitting the data (MQTT, GPRS, LoRa, TTN, Helium, Sigfox?) and storing the data on a private server.
            As a M5Stack enthusiast I will use their Cores and Atoms ideally suited for quick prototyping and proof of design.
            You can look at and follow the progress of the project at
            https://experiment.com/projects/participatory-research-to-explore-fungal-biodiversity-and-its-importance-to-bees.

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            • B
              bdonnachie
              last edited by

              crami25, awesome. I’m planning to capture temperature, weight and humidity roughly hourly and send it back over lorawan and The Things Network.

              I’m also planning to capture 30secs of audio and save it to SD card. Then at the end of the season, compare with my hive records, mark up according to queen and swarming status and use to train a machine learning algorithm. Then I’ll redesign the Arduino to perform ML on the audio and just send back status over lorawan.

              At least that’s the plan! :o)

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