US 12,073,496 B2
Systems and methods for pest pressure heat maps
Sukhvinder Singh, Johnston, IA (US); Sara Catherine Sterling, Thorndale, PA (US); Simon Bridge Barratt, Ardmore, PA (US); Paul D'Hyver de las Deses, Chicago, IL (US); Wandi Lin, Chicago, IL (US); Ross Joseph Putterman, Chicago, IL (US); and Ian Anthony Stuart-Hoff, Chicago, IL (US)
Assigned to FMC Corporation, Philadelphia, PA (US)
Filed by FMC Corporation, Philadelphia, PA (US)
Filed on Jun. 14, 2023, as Appl. No. 18/334,624.
Application 18/334,624 is a continuation of application No. 17/576,222, filed on Jan. 14, 2022, granted, now 11,721,050.
Application 17/576,222 is a continuation of application No. 17/081,263, filed on Oct. 27, 2020, granted, now 11,257,265, issued on Feb. 2, 2022.
Claims priority of provisional application 62/984,881, filed on Mar. 4, 2020.
Prior Publication US 2023/0326105 A1, Oct. 12, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 11/20 (2006.01); A01M 1/02 (2006.01); G06F 3/04842 (2022.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G06T 11/00 (2006.01)
CPC G06T 11/206 (2013.01) [A01M 1/026 (2013.01); G06F 3/04842 (2013.01); G06N 20/00 (2019.01); G06T 7/0002 (2013.01); G06T 11/001 (2013.01); G06T 11/203 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30188 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A heat map generation computing device comprising:
a memory; and
a processor communicatively coupled to the memory, the processor programmed to:
receive trap data for a plurality of pest traps in a geographic location;
receive additional data for the geographic location;
apply a machine learning algorithm to the trap data and the additional data to generate predicted future pest pressure values at each of the plurality of pest traps;
generate a first heat map for a first point in time and a second heat map for a second point in time, the second heat map generated using the predicted future pest pressure values, the first and second heat maps each generated by:
plotting a plurality of nodes on a map of the geographic location, each node corresponding to one of the plurality of pest traps, each node indicating the pest pressure value for the corresponding pest trap at the associated point in time; and
annotating at least some remaining portions of the map of the geographic location to generate a continuous map of pest pressure values for the geographic location by interpolating between pest pressure values associated with the plurality of nodes at the associated point in time; and
transmit the first and second heat maps to a mobile computing device to cause a user interface on the mobile computing device to display a time lapse heat map that dynamically transitions between the first heat map and the second heat map over time, the user interface implemented via an application installed on the mobile computing device.