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Developing IoT Wireless Sensor Network for Respiration Storage Chamber

EasyChair Preprint no. 11266

5 pagesDate: November 7, 2023


Fresh fruits and vegetables respiration rate is a main postharvest handling and support for the design of packaging or storage. The respiration rate can be calculated from oxygen and carbondioxide changes in the food pack or container during the period of storage. This research is purposed to develop a real-time respirometer instrument based on internet of things (IoT). Oxygen, carbondioxide, temperature and relative humidity sensors were embedded in respirometer and sensor arrays interfaced with the ESP32 microcontroller. The respirometer based IoT system provides a real-time measurement and good fit data measurement that was tested for oyster mushroom storage.

Keyphrases: ESP32, IoT, Respirometer, tested

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Kurniawan Yuniarto and Cahyo Mustiko Okta Muvianto and Mi'Raj Fuadi and Nurrachman Nurrachman},
  title = {Developing IoT Wireless Sensor Network for Respiration Storage Chamber},
  howpublished = {EasyChair Preprint no. 11266},

  year = {EasyChair, 2023}}
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