Diagnostic apparatus
US-2019159681-A1 · May 30, 2019 · US
US10685231B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10685231-B2 |
| Application number | US-201616492443-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 31, 2016 |
| Priority date | Oct 31, 2016 |
| Publication date | Jun 16, 2020 |
| Grant date | Jun 16, 2020 |
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The purpose of the present disclosure is to provide a computer system, a plant diagnosis method, and a program in which the accuracy of plant diagnosis can be improved. The computer system acquires a visible light image of a plant imaged by a camera, compares the acquired visible light image with a normal visible light image of the plant and performs image analysis, identifies a species of the plant according to the result of the image analysis, identifies an abnormal portion of the plant according to the result of the image analysis, acquires environmental data of the plant, and diagnoses a condition of the plant according to the identified species, the identified abnormal portion and the acquired environmental data.
Opening claim text (preview).
What is claimed is: 1. A computer system, comprising: a processor and a storage; wherein the storage stores a processor-executable program executed by the processor, and the program comprises: an image acquisition unit configured to acquire a visible light image and an infrared image of a plant imaged by a camera; an image analysis unit configured to compare the acquired visible light image with a normal visible light image of the plant and perform image analysis; a plant identifying unit configured to identify a species of the plant according to the result of the image analysis; a first image processing unit configured to identify regions, in the visible light image, which are in one-to-one correspondence with a plurality of predetermined sites of the plant; a second image processing unit configured to identify regions, in the infrared image, which are in one-to-one correspondence with the identified regions in the visible light image; an abnormal portion identifying unit configured to identify an abnormal portion of the plant according to respective temperatures of the identified regions in the infrared image; an environmental data acquisition unit configured to acquire environmental data of the plant; and a diagnosis unit configured to diagnose a condition of the plant based on the identified species, a temperature of the identified abnormal portion and the acquired environmental data; wherein the respective temperatures and the temperature are recognized from the infrared image. 2. The computer system according to claim 1 , wherein the environmental data acquisition unit acquires at least one environmental data among a group including growth period of the plant, ambient temperature, humidity, weather, and precipitation of the environment where the plant is located. 3. A plant diagnosis method executed by a computer system, comprising: acquiring a visible light image and an infrared image of a plant imaged by a camera; comparing the acquired visible light image with a normal visible light image of the plant and performing image analysis; identifying a species of the plant according to the result of the image analysis; identifying regions, in the visible light image, which are in one-to-one correspondence with a plurality of predetermined sites of the plant; identifying regions, in the infrared image, which are in one-to-one correspondence with the identified regions in the visible light image; identifying an abnormal portion of the plant according to respective temperatures of the identified regions in the infrared image; acquiring environmental data of the plant; and diagnosing a condition of the plant according to the identified species, a temperature of the identified abnormal portion and the acquired environmental data; wherein the respective temperatures and the temperature are recognized from the infrared image. 4. A non-transitory computer-readable medium causing a computer system to execute: acquiring a visible light image and an infrared image of a plant imaged by a camera; comparing the acquired visible light image with a normal visible light image of the plant and performing image analysis; identifying a species of the plant according to the result of the image analysis; identifying regions, in the visible light image, which are in one-to-one correspondence with a plurality of predetermined sites of the plant; identifying regions, in the infrared image, which are in one-to-one correspondence with the identified regions in the visible light image; identifying an abnormal portion of the plant according to respective temperatures of the identified regions in the infrared image; acquiring environmental data of the plant; and diagnosing a condition of the plant according to the identified species, a temperature of the identified abnormal portion and the acquired environmental data; wherein the respective temperatures and the temperature are recognized from the infrared image.
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