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1. (WO2017189337) IMPROVING A DIGITAL NUTRIENT MODEL BY ASSIMILATING A SOIL SAMPLE

Pub. No.:    WO/2017/189337    International Application No.:    PCT/US2017/028689
Publication Date: Fri Nov 03 00:59:59 CET 2017 International Filing Date: Fri Apr 21 01:59:59 CEST 2017
IPC: C09K 17/00
G01N 33/24
G05B 17/02
G06F 17/50
G06N 5/04
G06Q 50/02
Applicants: THE CLIMATE CORPORATION
Inventors: LEE, Wayne Tai
Title: IMPROVING A DIGITAL NUTRIENT MODEL BY ASSIMILATING A SOIL SAMPLE
Abstract:
In an embodiment, agricultural intelligence computer system stores a digital model of nutrient content in soil which includes a plurality of values and expressions that define transformations of or relationships between the values and produce estimates of nutrient content values in soil. The agricultural intelligence computer receives nutrient content measurement values for a particular field at a particular time. The agricultural intelligence computer system uses the digital model of nutrient content to compute a nutrient content value for the particular field at the particular time. The agricultural intelligence computer system identifies a modeling uncertainty corresponding to the computed nutrient content value and a measurement uncertainty corresponding to the received measurement values. Based on the identified uncertainties, the modeled nutrient content value, and the received measurement values, the agricultural intelligence computer system computes an assimilated nutrient content value.