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.
Hatchery data comes from monitoring egg and supply inventories, equipment operation, breeder reproductive performance, and incubation outcomes
The digitalization of hand-written records is still tricky in many hatcheries, and typing errors are still common. Data quality always requires close attention.
Identifying hatcheries, farms, breeder flocks, machines, and other descriptive variables should be consistent across the time to make an accurate analysis.
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.
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