Products & Toolsaiottinymllorawanenvironmental monitoring

PoGobe sensor monitors mushroom growth with TinyML

||By LDS Team
4.2
Relevance Score
PoGobe sensor monitors mushroom growth with TinyML
Photo: hackster.imgix.net · rights & takedowns

PoGobe is an AIoT forest sensor that monitors mushroom growth conditions and detects human presence using TinyML and LoRaWAN. It uses TinyML for on-device inference and LoRaWAN for long-range connectivity. Find this and other hardware projects on Hackst...

Key Points

  • 1What: PoGobe monitors mushroom growth conditions and detects human presence with TinyML and LoRaWAN.
  • 2For practitioners: combines low-power edge inference with long-range wireless for remote environmental sensing deployments.
  • 3Potential impact: provides a hardware template for mycology fieldwork, conservation monitoring, and edge sensor prototyping.

Scoring Rationale

Niche hardware TinyML project relevant to edge ML and environmental sensing practitioners; useful example but limited broad impact.

Sources

Public references used for this report.

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