James S Paterson

US Patent:

20210282338, Sep 16, 2021

Filed:

Mar 18, 2021

Appl. No.:

17/206064

Inventors:

- Cape Town, ZA
Michael WOOTTON - Cape Town, ZA
James PATERSON - Los Angeles CA, US
Munsanje MWEENE - Cape Town, ZA

International Classification:

A01G 17/00
G06K 9/00

Abstract:

Methods for predicting a yield of fruit growing in an agricultural plot are provided. At a first time, a first plurality of images of a canopy of the agricultural plot is obtained from an aerial view of the canopy of the agricultural plot. From the first plurality of images, a first number of detectable fruit is estimated. At a second time, a second plurality of images of the canopy of the agricultural plot is obtained from the aerial view of the canopy of the agricultural plot. From the second plurality of images, a second number of detectable fruit is estimated. Using at least the first number of detectable fruit and the second number of detectable fruit and agricultural plot information, predict the yield of fruit from the agricultural plot.

US Patent:

20210287000, Sep 16, 2021

Filed:

Mar 18, 2021

Appl. No.:

17/206066

Inventors:

- Cape Town, ZA
Michael WOOTTON - Cape Town, ZA
James PATERSON - Los Angeles CA, US
Munsanje MWEENE - Cape Town, ZA

International Classification:

G06K 9/00
A01G 22/05

Abstract:

A computer system obtains, using a camera, a first plurality of images of a canopy an agricultural plot. For each respective fruit of a plurality of fruit growing in the agricultural plot, the computer system identifies a first respective image in the first plurality of images that comprises the respective fruit. The first respective image has a corresponding first camera location. The computer system also identifies a second respective image in the first plurality of images that comprises the respective fruit. The second respective image has a corresponding second camera location. The computer system uses at least i) the first and second respective images and ii) a distance between the first and second camera locations to determine a corresponding size of the respective fruit.

US Patent:

20210287001, Sep 16, 2021

Filed:

Mar 18, 2021

Appl. No.:

17/206068

Inventors:

- Cape Town, ZA
Michael WOOTTON - Cape Town, ZA
James PATERSON - Los Angeles CA, US
Munsanje MWEENE - Cape Town, ZA

International Classification:

G06K 9/00
G06K 9/46
G06K 9/62
G06N 20/10
G06N 3/08
G06N 5/00

Abstract:

A computer system obtains, in electronic format, a training dataset. The training dataset comprises a plurality of training images from a plurality of agricultural plots. Each training image is from a respective agricultural plot in the plurality of agricultural plots and comprises at least one identified fruit. The computer system determines, for each respective fruit in each respective training image in the plurality of training images, a corresponding contour. The computer system trains an untrained or partially trained computational model using at least the corresponding contour for each respective fruit in each respective training image in the plurality of training images, thereby obtaining a first trained computational model that is configured to identify fruit in agricultural plot images.