METHOD OF PREDICTING CROP YIELD LOSS DUE TO N-DEFICIENCY

Patent №

US 9,508,007

Granted

2016-11-29

Filed 2015

Owner

THE CURATORS OF THE UNIVERSITY OF MISSOURI

Lab

AI components

2

vision · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14886712

A method for determining the yield loss of a crop using remote sensor data is described. The yield loss is determined using the reflectivity of light by the crop canopy measured from remote sensor data such as an aerial photograph that is digitized and spatially referenced to the field's longitude and latitude. Pixel values from the aerial photograph, expressed relative to pixel values from well fertilized areas of the field, are transformed to yield losses using a linear transformation that was developed using empirical data. A similar method is described to determine recommended nitrogen fertilization rates for the crop fields. The yield loss data is useful for nitrogen fertilization management, as it allows a producer of crops to weigh the expense of fertilization against the loss of revenue due to yield loss.

VisionEvolutionary computationG06Q 10/06315A01C 21/007G06Q 10/04G06Q 50/02G06T 7/90G06V 10/143G06V 10/42G06V 10/50+5 more

AI classification

Vision0.97
Evolutionary computation0.95
Machine learning0.43
AI hardware0.07
Planning0.03
Natural language0.00
Speech0.00
Knowledge representation0.00

Ownership

THE CURATORS OF THE UNIVERSITY OF MISSOURI

assignment · 383340691

Assignors

SCHARF, PETER CLIFTON, HUBBARD, VICTORIA CACNIO

On an employer assignment, the assignors are typically the inventors.

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