Big data could aid in early detection of coccidiosis

Detecting coccidiosis in poultry flocks early could prevent performance and financial losses for producers.

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A system that can detect coccidiosis or potentially other diseases in flocks immediately, according to a daily or weekly collection of bird and health information, could allow for early intervention before animal performance declines and improve the poultry producer’s return on investment (ROI).
A system that can detect coccidiosis or potentially other diseases in flocks immediately, according to a daily or weekly collection of bird and health information, could allow for early intervention before animal performance declines and improve the poultry producer’s return on investment (ROI).
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Controlling coccidiosis is a major challenge to the poultry industry. Producers are normally not able to detect the problem until three to four weeks after onset even though the infection can spread through flocks within a week. Researchers estimate that coccidiosis causes $3 billion in global economic losses annually.

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