Steven D Gryze

US Patent:

20200074023, Mar 5, 2020

Filed:

Aug 29, 2019

Appl. No.:

16/555267

Inventors:

- San Francisco CA, US
JENNIFER HOLT - San Francisco CA, US
ROBERT EWING - San Francisco CA, US
STEVEN DE GRYZE - San Francisco CA, US
JOHN GATES - Alameda CA, US
HARISH SANGIREDDY - San Francisco CA, US
JOHN BROWNING BURDICK - Sammamish WA, US
MICHAEL S. BYRNS - Seattle WA, US

International Classification:

G06F 17/50
G05B 19/042
G06T 11/00
A01C 21/00
A01G 25/16
A01B 79/00
A01D 75/00

Abstract:

Subfield moisture model improvement in generating overland flow modeling using shallow water calculations and kinematic wave calculations is disclosed. In an embodiment, a computer-implemented data processing method comprises: receiving precipitation data and infiltration data for an agricultural field; obtaining surface water depth data, surface water velocity data, and surface water discharge data for the same agricultural field; determining subfield geometry data for the agricultural field; executing a plurality of water calculations and wave calculations using the subfield geometry data to generate an overland flow model that includes moisture levels for the agricultural field; based on, at least in part, the overland flow model, generating and causing displaying a visual graphical image of the agricultural field comprising a plurality of color pixels having color values corresponding to the moisture levels determined for the agricultural field. Output of the overland flow model is provided to control computers of seeders, planters, fertilizer spreaders, harvesters, or combines to control seeding, planting, fertilizing or irrigation activities in the field.

US Patent:

20170061052, Mar 2, 2017

Filed:

Nov 14, 2016

Appl. No.:

15/351344

Inventors:

- San Francisco CA, US
Steven De Gryze - San Francisco CA, US

International Classification:

G06F 17/50
A01C 21/00
A01G 25/16
G06N 5/04

Abstract:

A system for generating digital models of nitrogen availability based on field data, weather forecast data, and models of water flow, temperature, and crop uptake of nitrogen and water is provided. In an embodiment, field data and forecast data are received by an agricultural intelligence computing system. Based on the received data, the agricultural intelligence computing system models changes in temperature of different soil layers, moisture content of different soil layers, and loss of nitrogen and water to the soil through crop uptake, leaching, denitrification, volatilization, and evapotranspiration. The agricultural intelligence computing system creates a digital model of nitrogen availability based on the temperature, moisture content, and loss models. The agricultural intelligence computing system may then send nitrogen availability data to a field manager computing device and/or use the nitrogen availability data to create notifications, recommendations, agronomic models, and/or control parameters for an application controller.