We Continue the Work of Those
Who Were the First.

  • Electrotechnics
  • Electrical Engineering
  • Light & Lighting
  • Power Engineering
  • Transportation
  • Automation
  • Communication
  • Smart Buildings
  • Industry
  • Innovation

Current issue

ELEKTRO 12/2021 was released on December 1st 2021. Its digital version will be available immediately.

Topic: Measurement, testing, quality care

Market, trade, business
What to keep in mind when changing energy providers

SVĚTLO (Light) 6/2021 was released 11.29.2021. Its digital version will be available immediately.

Fairs and exhibitions
Designblok, Prague International Design Festival 2021
Journal Světlo Competition about the best exhibit in branch of light and lighting at FOR ARCH and FOR INTERIOR fair

Professional literature
The new date format for luminaires description

Parasite infestations revealed by tiny chicken backpacks

13. 7. 2020 | EurekAlert | eurekalert.org

To help farmers detect mite infestations, a team of entomologists, computer scientists, and biologists led by UC Riverside entomologist Amy Murillo has created a new insect detection system. The team's work is detailed in the journal Scientific Reports.

In recent years, concern for the well-being of livestock has given rise to more farms where poultry are allowed to roam. Though this freedom improves the quality of chickens' lives, free-range chickens are still subject to insect infestations. Of particular concern to scientists is the northern fowl mite, which Murillo said feeds on chicken blood and lives on hens in feathers surrounding "the butt area of the chicken."

Detecting parasites

In addition to the economic consequences of infected hens laying fewer eggs, mites can make the chickens sick and cause lesions to develop on their skin.To devise their detection system, Murillo's team first identified three key chicken pastimes closely linked to chickens' well-being: pecking, preening, and dustbathing. The team placed motion sensors into tiny backpacks the chickens could wear without discomfort. The next challenge was translating data from these sensors into algorithms that could be detected as behaviors. In order to train a computer to recognize chicken behaviors, Alireza Abdoli, a doctoral student in computer science at UCR, had to take an unusual approach. He created an algorithm, or set of instructions, for the computer that considers the shape that the backpack sensor data makes on a graph, as well as features of the data such as mean and max.

Read more at EurekAlert

Image Credit: Amy Murillo/UCR

-jk-