US 12,225,847 B2
Crop monitoring system and method
Vidyanath Gururajan, Lincoln (GB); Alison Wright, Lincoln (GB); Mark Hansen, Bristol (GB); Ian Hales, Bristol (GB); Melvyn Smith, Bristol (GB); Lyndon Smith, Bristol (GB); Dave Samworth, Bristol (GB); and Luke Greenwood, Grantham (GB)
Assigned to HARVESTEYE LIMITED, Lincoln (GB)
Filed by B-Hive Innovations Limited, Branston (GB)
Filed on Aug. 17, 2022, as Appl. No. 17/889,886.
Application 17/889,886 is a continuation of application No. 16/471,600, granted, now 11,533,843, previously published as PCT/GB2017/053789, filed on Dec. 18, 2017.
Claims priority of application No. 1621879 (GB), filed on Dec. 21, 2016; and application No. 1713953 (GB), filed on Aug. 31, 2017.
Prior Publication US 2022/0394922 A1, Dec. 15, 2022
Int. Cl. A01D 41/127 (2006.01); A01D 17/00 (2006.01); A01D 33/00 (2006.01); A01D 43/08 (2006.01); A01D 69/00 (2006.01); A01D 91/00 (2006.01)
CPC A01D 41/127 (2013.01) [A01D 17/00 (2013.01); A01D 33/00 (2013.01); A01D 43/087 (2013.01); A01D 91/00 (2013.01); A01D 2033/005 (2013.01)] 16 Claims
OG exemplary drawing
 
1. A monitoring system configured to determine one or more parameters associated with harvested items, the system comprising:
a camera module configured to generate image data associated with the harvested items, the image data including depth data for the harvested items and images of the harvested items; and
a processing unit configured to receive the image data and to determine the one or more parameters associated with the harvested items,
wherein the one or more parameters include size information including a dimension of a first harvested item of the harvested items, and
wherein the processing unit is further configured to categorise the first harvested item by determining whether the first harvested item would pass through a sizing aperture of a virtual sieve based on the size information,
wherein the processing unit is further configured to track the first harvested item across the images by:
identifying the first harvested item in a first image of the image data; and
identifying the first harvested item in a second image of the image data, so as to avoid duplication of the virtual sieving process for the first harvested item.