Jennifer Holt

Subfield Moisture Model Improvement Using Overland Flow Modeling With Shallow Water Computations

Application

#2022023 Jul 28, 2022

Filed

Nov 17, 2021

Inventor

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

Appl. No.

17/528483

Assignee

Climate LLC (San Francisco, CA)

International Classification

G06F 30/20, G05B 19/042, G06T 11/00, A01C 21/00, A01B 79/00, A01D 75/00, A01G 25/16

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.

Subfield Moisture Model Improvement Using Overland Flow Modeling With Shallow Water Computations

Application

#2020007 Mar 5, 2020

Filed

Aug 29, 2019

Inventor

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

Appl. No.

16/555267

Assignee

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

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.

Determining Uncertainty Of Agronomic Predictions

Application

#2022030 Sep 22, 2022

Filed

Mar 18, 2022

Inventor

Jennifer HOLT (San Francisco, CA) · Kevin WIERMAN (Seattle, WA) · Timothy Tao Hin LAW (London, GB) · Gardar JOHANNESSON (Oakland, CA) · Julien VARENNES (Oakland, CA)

Appl. No.

17/698672

Assignee

Climate LLC (San Francisco, CA)

International Classification

G06Q 50/02, G06N 3/04

Abstract

The present disclosure relates generally to agronomic modeling, and more specifically to determining uncertainty associated with agronomic predictions (e.g., agricultural yield of a field). An exemplary method comprises: receiving information associated with a location; providing the information to one or more trained machine-learning models; determining, based on the trained machine-learning models: a probabilistic distribution of the predicted crop yield of the location, wherein the probabilistic distribution is defined by a plurality of parameters; and an uncertainty measure associated with a moment of the probabilistic distribution of the predicted crop yield.

Method For Treating Ceramic Cores

Application

#2002012 Sep 19, 2002

Filed

Mar 13, 2001

Inventor

Bobby Dixon (Morristown, TN) · Jennifer Holt (Whitesburg, TN)

Appl. No.

09/805426

Assignee

Bobby Dixon (Morristown, TN) · Jennifer Holt (Whitesburg, TN)

International Classification

B22C001/20, B22C009/10

U.S. Classification

164/525000, 164/369000

Abstract

A method for treating an unfired, molded ceramic core comprises placing an unfired (green) ceramic core having a thermosetting and/or thermoplastic binder on at least one setter, placing the setter and the green ceramic core thereon on a conveyor, conveying the setter and the green core through the heating oven to heat the setter and the green ceramic core to an elevated superambient temperature at or above a softening temperature of the binder present in the green core. Heating of the green ceramic core in this manner conforms the core to a surface of the setter to reduce distortion of the core and improve yields of cores that are within preselected dimensional tolerances.