Cargill has entered into an agreement to distribute a new precision broiler management technology that integrates data capture, data management and artificial intelligence to help maximize bird health and well-being and enhance decision-making at the flock level.
“Digital has become an essential part of the solutions we use to add value for our customers. Automated data collection, data aggregation, and predictive analytics empower producers to know what decisions to make when to improve efficiency and profitability,” Robbie Moody, poultry commercial director at Cargill, said.
“With innovative partners like Intelia, Cargill is building an ecosystem of digital offerings that allow broiler producers to model complex scenarios to know what will happen in the future by adopting certain action plans today.”
A unique view into flock performance
The digital technology leverages artificial intelligence, data capture and data management to form predictive models that can provide real-time insights about the health and well-being of a flock, as well as helping to optimize feed inventory management practices.
Because the predictive modeling is based on actual results, the data produced provide a unique view in the performance of a flock and share areas that need additional attention or intervention.
“Users have all the information at their fingertips to prioritize farm visits and interventions, track bird performance and make harvest planning decisions and efficiently manage feed inventory,” said Moody.
Predictive modeling streamlines decision-making
Predictive modeling could help producers track and predict bird bodyweight in real-time, monitor environmental parameters connected to feed conversion ratio and prevent feed outages and emergency feed reordering.
“Having real-time access to broiler weights and weight prediction curves allow producers to ensure performance is as expected and make smarter harvest planning decisions to control costs and prevent downtime at processing facilities,” Moody explained.
“Second, knowing bin inventory levels and optimizing feed inventory management prevents outages and costly emergency reorders.”
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