Patent application EP22177785A (EP), filed 2022-06-08
Publication number: EP4105892A1
Title: TURF HEALTH CONDITION DETERMINATION SYSTEM AT GOLF COURSE, TURF HEALTH CONDITION DETERMINATION METHOD AT GOLF COURSE AND PROGRAM
Abstract: Provided are a turf health condition determination system at a golf course, a turf health condition determination method at a golf course, and a program with which it is possible to quickly pinpoint an area in which unhealthy turf is present in the golf course. A first determination module (56) determines, based on a first determination target image which is an image of at least a part of the turf area, a health condition of turf shown in the first determination target image. A second determination module (64) determines, for each of a plurality of second determination target images obtained by dividing the first determination target image in which the shown turf is determined to be unhealthy, the health condition of the turf shown in the second determination target image based on a variation in pixel values of pixels included in the second determination target image.
IPC codes: G06V  10/    44            A I
G06V  20/    10            A I
G06V  30/    19            A I
Claims: number: 1
text: A turf health condition determination system at a golf course, the turf health condition determination system comprising:
number: 2
text: The turf health condition determination system at a golf course according to claim 1, wherein the first determination means (56) is configured to determine, for each of a plurality of the first determination target images obtained by dividing an image of the turf area, the health condition of the turf shown in the each of the plurality of first determination target images based on the each of the plurality of first determination target images.
number: 3
text: The turf health condition determination system at a golf course according to claim 1 or 2, wherein the first determination means (56) is configured to determine the health condition of the turf shown in the first determination target image based on an output from a learned model obtained when the first determination target image having a predetermined number of pixels is input to the learned model.
number: 4
text: The turf health condition determination system at a golf course according to any one of claims 1 to 3, wherein the second determination means (64) is configured to determine the health condition of the turf shown in the each of the plurality of second determination target images based on a magnitude of a standard deviation or a variance of the pixel values of the pixels included in the each of the plurality of second determination target images.
number: 5
text: The turf health condition determination system at a golf course according to any one of claims 1 to 4, wherein the second determination means (64) is configured to determine, based on an image obtained by applying a bandpass filter to the each of the plurality of second determination target images, the health condition of the turf shown in the each of the plurality of second determination target images.
number: 6
text: The turf health condition determination system at a golf course according to any one of claims 1 to 5, wherein the second determination means (64) is configured to determine, based on an image obtained by performing smoothing processing on the each of the plurality of second determination target images, the health condition of the turf shown in the each of the plurality of second determination target images.
number: 7
text: A turf health condition determination method at a golf course, the turf health condition determination method comprising:
number: 8
text: A program for causing a computer to execute the procedures of:
Office action: search_report, dated 2022-12-21
Rejection reasons: novelty_epc_54
inventive_step_epc_56
Prior art cited: ref_id: JP2014183788A
ref_type: patent
severity: background
ref_id: AU2019300793A1
ref_type: patent
severity: background
ref_id: WO2019125809A1
ref_type: patent
severity: background
ref_id: US2021029890A1
ref_type: patent
severity: background
ref_id: [XYI]     - PARRA LORENA ET AL: "Edge detection for weed recognition in lawns", COMPUTERS AND ELECTRONICS IN AGRICULTURE, ELSEVIER, AMSTERDAM, NL, vol. 176, 6 August 2020 (2020-08-06), XP086251903, ISSN: 0168-1699, [retrieved on 20200806], DOI: 10.1016/J.COMPAG.2020.105684
ref_type: npl
severity: background
ref_id: WO2019125809
ref_type: patent
severity: novelty_destroying
ref_id: AU2019300793
ref_type: patent
severity: obviousness
ref_id: US2021029890
ref_type: patent
severity: background
ref_id: - PARRA LORENA ET AL, "Edge detection for weed recognition in lawns", COMPUTERS AND ELECTRONICS IN AGRICULTURE, ELSEVIER, AMSTERDAM, NL, vol. 176, doi:10.1016/J.COMPAG.2020.105684, ISSN 0168-1699, (20200806), (20200806), XP086251903 [X] 1,6-8 * Abstract section 1, par.s 3-4 section 2.4.2 * [Y] 4 [I] 2,3,5
ref_type: npl
severity: novelty_destroying
Final disposition: pending (2022-12-21)