US 11,751,542 B1
Method and system for animal growth regulation for improved profitability and mitigated risk
Fazal Wala, St. Paul, MN (US); Charles A. Lemaire, Apple Valley, MN (US); and Alexander B. Lemaire, Edina, MN (US)
Assigned to American Institute of Nutrition and Management Inc., Shoreview, MN (US)
Filed by American Institute of Nutrition and Management Inc., Shoreview, MN (US)
Filed on Mar. 8, 2022, as Appl. No. 17/689,313.
Application 17/689,313 is a continuation of application No. 16/533,622, filed on Aug. 6, 2019, granted, now 11,266,125.
Claims priority of provisional application 62/715,084, filed on Aug. 6, 2018.
Int. Cl. G06Q 10/04 (2023.01); G06Q 10/0631 (2023.01); A01K 29/00 (2006.01); A01K 5/02 (2006.01); A23K 50/70 (2016.01)
CPC A01K 29/00 (2013.01) [G06Q 10/04 (2013.01); A01K 5/02 (2013.01); A23K 50/70 (2016.05); G06Q 10/0631 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computerized apparatus comprising:
a first server system operably connected to the internet, the first server system comprising a microprocessor and software instructions to:
elicit and receive into the first server system information based on characteristics of a group of animals including number of each sex, weight, age, and strain;
elicit and receive into the first server system information including optimal diet, environmental conditions, group size, predicted mortality rate, predicted yield, and financial figures from the internet;
elicit and receive into the first server system information including type of feed and nutritional values of various ingredients thereof;
store different risk-level values for each one of a plurality of levels of risk including a risk-level value for a first level of risk;
vary selected values for each of sex, weight, strain, optimal diet, environmental conditions, predicted yield, marketing age, and financial figures; and
calculate an expected profit conditioned to each one of the plurality of risk-level values by varying each of the varied selected values in order to maximize profit conditioned to the first level of risk for each of a plurality of combinations of the varied selected values.