Incubation

Using predictive analytics to improve hatchery performance

To read more content about aviNews International April 2021

Hatcheries have pivotal roles in poultry production systems. The data generated in this process can be better utilized with predictive analytic techniques to address common issues that affect hatchability and hatchling quality by supporting planning, preventive maintenance programs, and personnel interventions.

We will discuss the current status of data management and analysis in hatcheries, challenges and opportunities, tools available for improvement, and call attention to improve training necessary to apply advanced data analytics.

CURRENT STATUS OF DATA MANAGEMENT IN HATCHERIES

There is a significant variation in the technological level of hatcheries around the world. Despite these differences, the hatchery is one of the poultry chain segments with more control and data generation.

Liptosa INT 2022

Hatchery data comes from monitoring egg and supply inventories, equipment operation, breeder reproductive performance, and incubation outcomes

  • Egg flows, fertility, hatchability
  • Cause of embryo mortality obtained in egg breakouts
  • Hatchling output
  • Quality grades
  • And records of the average machine and room temperature
  • Humidity, and pressures

The digitalization of hand-written records is still tricky in many hatcheries, and typing errors are still common. Data quality always requires close attention.

  • The preferred method of data warehousing is Excel files with a single table or multiple tables or spreadsheets.
  • Data should always be organized in continuous columns and rows.
  • Unfortunately, spaces are frequently left intentionally to add notes, complicating the data analysis.

Identifying hatcheries, farms, breeder flocks, machines, and other descriptive variables should be consistent across the time to make an accurate analysis.

WVEPAH
Liptosa INT 2022
Ceva Int 2022
Cobbcares INT

Some variables like egg storage time are often not well defined, and approximated ranges are entered variably.

It would be better to segregate results by specific days or hours of storage or predetermine specific storage ranges that can be systematically analyzed.

The data analyses are most of the time conducted in Excel.




TO CONTINUE READING REGISTER IT IS COMPLETELY FREE


Access to articles in PDF
Keep up to date with our newsletters
Receive the magazine for free in digital version




REGISTRATION




ACCESS
YOUR ACCOUNT







LOGIN


Lost your password?




Liptosa INT 2022
WVEPAH
Ceva Int 2022
Cobbcares INT
MORE ABOUT Incubation

LISTEN THE MAGAZINE ON agriFM

agriFM

JOIN OUR POULTRY COMMUNITY

Access the PDF articles
Keep up to date with our newsletters
Receive the magazine for free in digital version

DISCOVER
AgriFM - The Livestock Sector Podcasts in English
agriCalendar - The events calendar of the agricultural worldagriCalendar
agrinewsCampus - Training courses for the livestock sector