METHOD OF PREDICTING CROP YIELD LOSS DUE TO N-DEFICIENCY

Patent №

US 8,208,680

Granted

2012-06-26

Filed 2007

Owner

THE CURATORS OF THE UNIVERSITY OF MISSOURI

Lab

AI components

3

vision · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11936564

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 green 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. Green pixel values from the aerial photograph, expressed relative to green 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.

AI classification

Evolutionary computation0.99
Planning0.96
Vision0.71
Machine learning0.23
AI hardware0.04
Speech0.00
Natural language0.00
Knowledge representation0.00

Ownership

THE CURATORS OF THE UNIVERSITY OF MISSOURI

assignment · 247690322

Assignors

SCHARF, PETER CLIFTON, HUBBARD, VICTORIA CACNIO

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

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