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Livestock & Animal Data

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What's in livestock & animal data.livestock & animal data.

Food/Agriculture

Dairy Production Data

Milk volume, butterfat, protein, and somatic cell counts per cow per day -- the data that dairy AI uses to optimize feeding, detect mastitis, and predict production.

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Food/Agriculture

Poultry House Environment Data

Temperature, ventilation, litter moisture, and ammonia levels in poultry houses -- the environment data that determines feed conversion and mortality in 9 billion US broilers per year.

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Food/Agriculture

Aquaculture Production Data

Fish farm sensors track water quality, feed rates, growth curves, and mortality -- the fastest-growing protein sector needs AI to scale sustainably.

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Food/Agriculture

Animal Health Records

Veterinary treatments, vaccinations, and mortality events by herd -- the data that disease surveillance models need to catch outbreaks early.

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Food/Agriculture

Breeding & Genetics Data

Genomic testing, EPDs, and breeding records for cattle, pigs, and poultry -- the data that AI-driven breeding programs use to accelerate genetic gain.

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Food/Agriculture

Feed Conversion Ratio Data

How efficiently animals convert feed to meat -- FCR data by genetics, diet, and environment is the key metric for livestock profitability optimization.

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Food/Agriculture

Livestock GPS Tracking

GPS collars on cattle track grazing patterns, distance walked, and pasture utilization -- data that ranchers use to optimize stocking rates and AI uses to predict weight gain.

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Food/Agriculture

Slaughter & Processing Data

Carcass weight, grade, yield, and defect data from packing plants -- the quality signal that connects farm-level decisions to final product value.

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