Abstract
Abstract Commercial protein production involves ever more reliance on monitoring operations due to needs around disease intervention, animal loss, and optimized nutrition. With poultry flock and cattle herd sizes in the thousands, as two examples, early alert systems that forewarn of the need to make adjustments for optimized health are critical. There are never enough eyes and ears to alert to all the impactful changes that affect animal health and production output. Discussed here are examples of analytic data science where the extensive history of agriculture data collection and experience can be married with statistics and analytic data modeling. The goals include making the data available; providing easy access to modern analytic tools; and visual access to trusted analytic decision points on modern devices.
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