US 12,471,572 B2
Energy-based animal nutrition modeling and formulation systems
David A. Cook, Coon Rapids, MN (US); Christian De Santis, Lombardy (IT); Adel El-Mowafi, Hafrsfjord (NO); Brian J. Knudson, Chanhassen, MN (US); and Kari Juhani Ruohonen, Turku (FI)
Assigned to CAN TECHNOLOGIES, INC., Wayzata, MN (US)
Appl. No. 18/552,248
Filed by CAN TECHNOLOGIES, INC., Wayzata, MN (US)
PCT Filed Mar. 17, 2022, PCT No. PCT/US2022/071205
§ 371(c)(1), (2) Date Sep. 25, 2023,
PCT Pub. No. WO2022/204656, PCT Pub. Date Sep. 29, 2022.
Claims priority of provisional application 63/166,787, filed on Mar. 26, 2021.
Prior Publication US 2024/0180124 A1, Jun. 6, 2024
Int. Cl. A01K 29/00 (2006.01); A01K 5/02 (2006.01); A23K 50/10 (2016.01); A23K 50/30 (2016.01); A23K 50/75 (2016.01); A23K 50/80 (2016.01)
CPC A01K 29/005 (2013.01) [A01K 5/02 (2013.01); A23K 50/10 (2016.05); A23K 50/30 (2016.05); A23K 50/75 (2016.05); A23K 50/80 (2016.05)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for determining an animal feed formulation, comprising:
obtaining data that provides characteristics of an animal population located at a site;
identifying a target growth schedule for the animal population;
using a data processing model to predict nutrition requirements for tissue growth in the animal population, using the target growth schedule and the characteristics of the animal population, the data processing model configured to predict the nutrition requirements based on projected nitrogenous energy requirements for the tissue growth in the animal population;
identifying a feed formulation, the feed formulation producible from a combination of animal feed ingredients to satisfy the nutrition requirements for tissue growth in the animal population; and
generating a data output for use of the feed formulation with the animal population, the data output indicating the identified feed formulation producible from the combination of animal feed ingredients.