US 2025/0173864 A1Published application

Generation method, discrimination method, computer program, generation device, and discrimination device

AssigneesLEF Technology, Inc., Kanda System Co., Ltd.

InventorsNaohiro ASAKA, Toshiyuki IGATA, Naoya AKASAKI

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Abstract

A generation method for a discriminant model for discriminating a growth state of a plant executed by a computer including an arithmetic circuit configured to access a storage device, the generation method comprising: storing, by the storage device, a chloroplast density image which is an image reflecting a difference between absorption spectra of chlorophyll and carotenoids contained in the plant obtained from a plurality of images of leaves of plants for training; being executed by the arithmetic circuit; reading the chloroplast density image from the storage device; and generating a discriminant model of the growth state of the plant using the chloroplast density image as training data for machine learning.

Claims9

Dependent claims

A generation method for a discriminant model for discriminating a growth state of a plant executed by a computer including a processor configured to access a storage device, the generation method comprising:

storing, by the storage device, a plurality of chloroplast density image which are obtained by using the following formula (1) for each pixel of the images using the images of the leaves of the plurality of plants;
(
intensity
⁢
of
⁢
red
⁢
light
×
x
+
G
⁢
image
⁢
indicating
⁢
the
⁢
intensity
⁢
of
⁢
green
⁢
light
×
y
)
⁠
/
(
x
+
y
)
-
intensity
⁢
of
⁢
blue
⁢
light
,
(
1
)
(where 0≤x, 0≤y and except x=y=0)
being executed by the processor;
reading the plurality of chloroplast density image from the storage device;
and
generating a discriminant model of the growth state of the plant using the plurality of chloroplast density image as training data for machine learning,
further the circuit optimizing values of x and y in the Expression (1) to a combination having highest discrimination accuracy.

52 more elements

Dependencies are inferred from the claim text.