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🦀 Varroa mite detection

Why​

Varroa mites are the biggest danger to colonies today

  • they feed on larvae, pupae, adult honey bees
  • they leave open wounds
  • they consume fat body of a bee, making bees weak (immune response, energy storage, detoxification)

Suggested solution​

App integration​

  • Prepare the data. For this we need to cut regions from the original frame where we detect bees - see Worker bee detection
  • use AI model like yolo, get weights to detect and count mites on individual bees
  • return absolute number of mites found in an image
  • add http API to this model
  • integrate image-splitter with this model - it manages frame photos
  • store result in DB (a db migration would be needed)
  • display mite infection % per frame and per hive in web-app
  • generate an alert beekeeper if its above some treshold after some period of time (blocked by another issue)

  • detect deformed wings virus that is spread by varroa
  • detect parsitic mite syndrome - uncapped larvae caused by high mite infestation
  • paralysis viruses (black-shiny immobile bees)

https://github.com/Gratheon/image-splitter/assets/445122/c5b2954a-0239-4946-91e5-525f2c92ccff

Solution​

https://github.com/Gratheon/web-app/pull/70

https://github.com/Gratheon/image-splitter/pull/17

Problem currently

  • roboflow costs too much
  • has too strict limits for free tier
  • prediction does not work well for frame photos, even if they are sliced in parts