Analysis

Data are crucial to better understand how the Asian horned beetle lives and spreads. Therefore, it is important to collect as much data as possible through the app. Over the summer, an AI specialist will look for a good way to analyse the data and visualise the results.

Here, we are already providing a list of possible links between the different datasets.

ANALYSIS POSSIBILITIES

Spotters

  • How many spotters and geographical distribution?
  • Who are the most active spotters? Involve in plan of attack.
  • What is the approach of the spotters (volunteer, beekeeper,…)

Municipalities

  • Which municipalities are active in control?
  • What is the impact of their efforts? How many were controlled, how many were not?
  • Number of nests eradicated in active municipalities? Number of nests eradicated in non-active municipalities? How big are the differences.
  • Habitat hornet and geographical distribution of nests:
  • Where large concentrations of nests? (in forest, in residential zone, on private land,…)
  • Is there a greater concentration of nests near hives?
  • In which places, tree, bush,…

Decoys

  • Where are decoys located?
  • Which types are used?
  • Which ones have most success?
  • What is the bycatch with decoy traps?
  • How many queens captured and geographical distribution? Impact on the presence of nests?
  • How large is the bycatch?
  • Especially bycatch with non-selective decoy traps

Extermination

  • Who exterminated nests (based on mail addresses)
  • How many nests exterminated?
  • At what stage (embryo, primary, summer nest) were the nests located? To be determined based on date of extermination.
  • In what way exterminated?
  • Geographical differences in extermination? Impact on presence of nests year after?
  • For type of extermination, do nests return to the same place when e.g. vacuumed?

Hives

  • Geographical distribution of hives: by province
  • What protective measures do beekeepers take?
  • How many hives do not survive winter?

Safety for humans

  • Number of nests with immediate danger to humans
  • Number with immediate danger to humans destroyed
  • Number without immediate danger to humans destroyed
  • Number of contacts with hornet and place of contact
  • Number of stings (venom stinging and spraying). Number of stinging incidents by hornet.
  • Number of allergic reactions

Artificial Intelligence

  • Recognition of nest type based on photo: is it effectively a hornet’s nest?
  • Extracting duplicate sightings.
  • Recognise non-selective decoy traps and send reporter an email with tips
  • With directions of flight lines, let AI calculate where possible nests could be. Will require adding category weed pots and ability to draw in directional markers.
  • Predict where greater chance of nesting (based on geographical situation, noticing hornets, extermination, presence of nests last year,…)

If we look over several years, it becomes interesting to analyse the evolution of the distribution as a function of what has been done in terms of control.

Bee inspired, the Hornet Spotter team.