Erik A Andrejko

US Patent:

20130332205, Dec 12, 2013

Filed:

Mar 15, 2013

Appl. No.:

13/842752

Inventors:

David Friedberg - San Francisco CA, US
Erik Andrejko - Oakland CA, US
James Ethington - San Francisco CA, US
Siraj Khaliq - San Francisco CA, US
Christopher Seifert - San Francisco CA, US
Qaseem Ahmed Shaikh - Emeryville CA, US
Tristan d'Orgeval - San Francisco CA, US

International Classification:

G06Q 40/08
G06Q 50/02

US Classification:

705 4

Abstract:

A system and method for generating an insurance policy to protect a crop against weather-related perils is provided. A customized insurance policy is generated based on crop type data and location data. The customized insurance policy is generated utilizing a weather-impact model for the type of crop and the geographic area.

US Patent:

20210383290, Dec 9, 2021

Filed:

Aug 23, 2021

Appl. No.:

17/409615

Inventors:

- San Francisco CA, US
Eli J. Pollak - San Francisco CA, US
Tristan D'Orgeval - Paris, FR
Katherine Krumme - Berkeley CA, US
Evin Levey - Kentfield CA, US
Samuel Alexander Wimbush - San Francisco CA, US
Erik Andrejko - Oakland CA, US
Moorea Lee Brega - San Francisco CA, US

International Classification:

G06Q 10/06
G06Q 10/04
G06Q 50/02

Abstract:

A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving a plurality of field definition data, retrieving a plurality of input data from a plurality of data networks, determining a field region based on the field definition data, identifying a subset of the plurality of input data associated with the field region, determining a plurality of field condition data based on the subset of the plurality of input data, identifying a plurality of field activity options, determining a recommendation score for each of the plurality of field activity options based at least in part on the plurality of field condition data, and providing a recommended field activity option from the plurality of field activity options based on the plurality of recommendation scores.

US Patent:

20210350478, Nov 11, 2021

Filed:

Jul 19, 2021

Appl. No.:

17/379824

Inventors:

- San Francisco CA, US
Eli Pollak - San Francisco CA, US
Tristan D'Orgeval - Paris, FR
Coco Krumme - Berkeley CA, US
Evin Levey - Kentfield CA, US
Alex Wimbush - San Francisco CA, US
Erik Andrejko - Oakland CA, US
Moorea Brega - San Francisco CA, US
Doug Sauder - Livermore CA, US
Cory Muhlbauer - Bloomington IL, US

International Classification:

G06Q 50/02
G06Q 10/06
G06Q 10/04
A01B 79/02

Abstract:

A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving, over a network, field definition data and environmental data; determining soil data from at least the environmental data; determining, based on at least the soil data, carbon load data indicating carbon load present in the field during a planting date; receiving first input indicating a plurality of starter application criteria; based on the first input and the carbon load present in the field, generating application data that include at least an amount of the starter fertilizer that provides nutrients to seeds throughout a nutrient immobilization period between the planting date and a beginning of a microorganism mineralization period; generating control instructions for controlling an agricultural implement based on the application data.

US Patent:

20200329650, Oct 22, 2020

Filed:

Jun 29, 2020

Appl. No.:

16/916022

Inventors:

- San Francisco CA, US
Erik Andrejko - Oakland CA, US

International Classification:

A01G 22/00
G06Q 50/02
A01G 7/00
G06Q 10/04
H04L 12/26
H04L 29/08

Abstract:

A method for generating digital models of potential crop yield based on planting date, relative maturity, and actual production history is provided. In an embodiment, data representing historical planting dates, relative maturity values, and crop yield is received by an agricultural intelligence computer system. Based on the historical data, the system generates spatial and temporal maps of planting dates, relative maturity, and actual production history. Using the maps, the system creates a model of potential yield that is dependent on planting date and relative maturity. The system may then receive actual production history data for a particular field. Using the received actual production history data, a particular planting date, and a particular relative maturity value, the agricultural intelligence computer system computes a potential yield for a particular field.

US Patent:

20200334518, Oct 22, 2020

Filed:

Jun 29, 2020

Appl. No.:

16/915959

Inventors:

- San Francisco CA, US
Erik Andrejko - Oakland CA, US

International Classification:

G06N 3/04
G06Q 10/04
G06Q 50/02
G06Q 10/06

Abstract:

Systems and method for computing yield values through a neural network from a plurality of different data inputs are disclosed. In an embodiment, a server computer system receives a particular dataset relating to one or more agricultural fields wherein the particular data set comprises particular crop identification data, particular environmental data, and particular management practice data. Using a first neural network, the server computer system computes a crop identification effect on crop yield from the particular crop identification data. Using a second neural network, the server computer system computes an environmental effect on crop yield from the particular environmental data. Using a third neural network, the server computer system computes a management practice effect on crop yield from the management practice data. Using a master neural network, the server computer system computes one or more predicted yield values from the crop identification effect on crop yield, the environmental effect on crop yield, and the management practice effect on crop yield.

US Patent:

20200303055, Sep 24, 2020

Filed:

Jun 12, 2020

Appl. No.:

16/900156

Inventors:

- Chicago IL, US
Erik Andrejko - San Francisco CA, US

International Classification:

G16H 20/60
G06F 16/9032
G06F 16/9035
G16H 10/60
G06N 3/08
G06N 20/10
G06N 5/04

Abstract:

A method for improving food-related personalized for a user including determining food-related preferences associated with a plurality of users to generate a user food preferences database; collecting dietary inputs from a subject matter expert (SME) at an SME interface associated with the user food preferences database; determining personalized food parameters for the user based on the user food-related preferences and the dietary inputs; receiving feedback associated with the personalized food parameters from the user; and updating the user food preferences database based on the feedback.

US Patent:

20200288626, Sep 17, 2020

Filed:

Jun 1, 2020

Appl. No.:

16/889627

Inventors:

- San Francisco CA, US
ELI POLLAK - San Francisco CA, US
TRISTAN D'ORGEVAL - Paris, FR
KATHERINE KRUMME - Berkeley CA, US
EVIN LEVEY - Kentfield CA, US
SAMUEL ALEXANDER WIMBUSH - San Francisco CA, US
ERIK ANDREJKO - Oakland CA, US
MOOREA LEE BREGA - San Francisco CA, US

International Classification:

A01B 79/00
G06Q 50/02
G06Q 10/06

Abstract:

A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving a plurality of field definition data, retrieving a plurality of input data from a plurality of data networks, determining a field region based on the field definition data, identifying a subset of the plurality of input data associated with the field region, determining a plurality of field condition data based on the subset of the plurality of input data, identifying a plurality of field activity options, determining a recommendation score for each of the plurality of field activity options based at least in part on the plurality of field condition data, and providing a recommended field activity option from the plurality of field activity options based on the plurality of recommendation scores.

US Patent:

20200265497, Aug 20, 2020

Filed:

Feb 27, 2020

Appl. No.:

16/803550

Inventors:

- Chicago IL, US
Erik Andrejko - San Francisco CA, US

International Classification:

G06Q 30/06
G16H 20/60
G06F 16/9035
G06N 20/10
G06N 3/08
G06N 5/04
G06F 16/9032

Abstract:

Systems and methods for improving food-related personalization for a user including generating a recipe database including a set of recipe data structures; deriving a recipe vector representation of the recipe data structures; determining a set of user food preferences; extracting a set of recipe vector constraints from the set of user food preferences; determining a personalized food plan for the user, including automatically selecting a subset of the set of recipe data structures associated with recipe vector representations that satisfy the set of recipe vector constraints; determining fulfillment parameters for grocery items associated with the personalized food plan; and automatically facilitating fulfillment of grocery items associated with the personalized food plan based on the fulfillment parameters.