# US 10,768,584 B2 · Cognitive plant clinic > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,768,584 B2 - Document ID: US10768584B2 - Status: Granted - Kind: B2 - Application number: 16/422,251 - Filed: 2019-05-24 - Published: 2019-09-12 - Granted: 2020-09-08 - Earliest claimed: 2017-06-26 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Evelyn R. Anderson; Natalie N. Brooks Powell; Kristen N. Conley; Martin G. Keen - Web page: https://patentgrep.com/patent/US10768584B2 ## CPC - G05B 13/028: {using expert systems only} - G05B 19/042: using digital processors (G05B19/05 takes precedence) - G05B 23/021: {adopting a different treatment of each operating region or a different mode of the monitored system, e.g. transient modes; different operating configurations of monitored system} - A01N 2300/00: Combinations or mixtures of active ingredients covered by classes A01N27/00 - A01N65/48 with other active or formulation relevant ingredients, e.g. specific carrier materials or surfactants, covered by classes A01N25/00 - A01N65/48 - G05B 23/0272: {Presentation of monitored results, e.g. selection of status reports to be displayed; Filtering information to the user} - G05B 2219/31472: Graphical display of process - G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G) - A01N: PRESERVATION OF BODIES OF HUMANS OR ANIMALS OR PLANTS OR PARTS THEREOF (preservation of food or foodstuff A23); BIOCIDES, e.g. AS DISINFECTANTS, AS PESTICIDES OR AS HERBICIDES (preparations for medical, dental or toiletry purposes which kill or prevent the growth or proliferation of unwanted organisms A61K); PEST REPELLANTS OR ATTRACTANTS; PLANT GROWTH REGULATORS ## Abstract Methods, computer program products, and systems are presented. The methods include, for instance: obtaining an input including an image of a plant, identifying a species of the plant by use of visual recognition of the image. The image is analyzed for symptoms and candidate diagnoses are selected from a diagnostic repository according to the symptoms. With respective candidate diagnoses, a confidence score and a treatment regimen are associated. According to a treatment mode, the candidate diagnoses and treatment regimen are delivered. ## Claims ### Claim 1 A computer implemented method comprising: obtaining an input including an image of a plant from a camera; producing a diagnosis for the plant using the input; determining a treatment regimen for the plant using a repository that associates diagnoses to treatment regimens; and performing the treatment regimen for treatment of the plant. ### Claim 2 (depends on 1) The computer implemented method of claim 1, wherein the producing a diagnosis includes identifying a species using the image. ### Claim 3 (depends on 1) The computer implemented method of claim 1, wherein the method includes providing a plurality of candidate diagnoses using the image and selecting the diagnosis from the candidate diagnoses. ### Claim 4 (depends on 1) The computer implemented method of claim 1, wherein the input includes a geographical location indicating where the image has been taken, a timestamp indicating when the image has been taken, environment data of the plant as reported by one or more device surrounding the plant, other instances of plant images, weather data, and soil data. ### Claim 5 (depends on 1) The computer implemented method of claim 1, wherein the input includes one or more of the following selected from the group consisting of: (a) geographical location indicating where the image has been taken, (b) a timestamp indicating when the image has been taken, (c) environment data of the plant as reported by one or more device surrounding the plant, (d) other instances of plant images, (e) weather data, and (f) soil data. ### Claim 6 (depends on 1) The computer implemented method of claim 1, wherein the method includes providing a plurality of candidate diagnoses using the image, and selecting the diagnosis from the candidate diagnoses, setting confidence scores for respective ones of the candidate diagnoses according to one or more evidence supporting and/or negating respective ones of the candidate diagnoses, and performing the selecting using the confidence scores. ### Claim 7 (depends on 1) The computer implemented method of claim 1, wherein the method includes providing a plurality of candidate diagnoses using the image, and selecting the diagnosis from the candidate diagnoses, setting confidence scores for respective ones of the candidate diagnoses according to one or more evidence supporting and/or negating each candidate diagnosis, and performing the selecting using the confidence scores, wherein the one or more evidence supporting and/or negating respective ones of the candidate diagnosis includes a geographical proximity to other instances of the same candidate diagnosis, and a similarity in season and/or temperature with said other instances of the same candidate diagnosis. ### Claim 8 (depends on 1) The computer implemented method of claim 1, wherein the performing the treatment regimen includes performing one or more of the following selected from the group consisting of: (a) Placing order for treating substance/equipment, (b) Controlling water supply, (c) Controlling lighting, and (d) Controlling temperature. ### Claim 9 (depends on 1) The computer implemented method of claim 1, wherein the performing the treatment regimen includes performing each of (a) Controlling water supply, (b) Controlling lighting, and (c) Controlling temperature. ### Claim 10 A computer program product comprising: a computer readable storage medium readable by one or more processor and storing instructions for execution by the one or more processor for performing a method for providing a clinical service for plants comprising: obtaining an input including an image of a plant from a camera; producing a diagnosis for the plant using the input; determining a treatment regimen for the plant using a repository that associates diagnoses to treatment regimens; and performing the treatment regimen for treatment of the plant. ### Claim 11 (depends on 10) The computer program product of claim 10, wherein the producing a diagnosis includes identifying a species using the image. ### Claim 12 (depends on 10) The computer program product of claim 10, wherein the method includes providing a plurality of candidate diagnoses using the image and selecting the diagnosis from the candidate diagnoses. ### Claim 13 (depends on 10) The computer program product of claim 10, wherein the input includes a geographical location indicating where the image has been taken, a timestamp indicating when the image has been taken, environment data of the plant as reported by one or more device surrounding the plant, other instances of plant images, weather data, and soil data. ### Claim 14 (depends on 10) The computer program product of claim 10, wherein the input includes one or more of the following selected from the group consisting of: (a) geographical location indicating where the image has been taken, (b) a timestamp indicating when the image has been taken, (c) environment data of the plant as reported by one or more device surrounding the plant, (d) other instances of plant images, (e) weather data, and (f) soil data. ### Claim 15 (depends on 10) The computer program product of claim 10, wherein the method includes providing a plurality of candidate diagnoses using the image, and selecting the diagnosis from the candidate diagnoses, setting confidence scores for respective ones of the candidate diagnoses according to one or more evidence supporting and/or negating respective ones of the candidate diagnoses, and performing the selecting using the confidence scores. ### Claim 16 (depends on 10) The computer program product of claim 10, wherein the method includes providing a plurality of candidate diagnoses using the image, and selecting the diagnosis from the candidate diagnoses, setting confidence scores for respective ones of the candidate diagnoses according to one or more evidence supporting and/or negating each candidate diagnosis, and performing the selecting using the confidence scores, wherein the one or more evidence supporting and/or negating respective ones of the candidate diagnoses includes a geographical proximity to other instances of the same candidate diagnosis, and a similarity in season and/or temperature with said other instances of the same candidate diagnosis. ### Claim 17 (depends on 10) The computer program product of claim 10, wherein the performing the treatment regimen includes performing one or more of the following selected from the group consisting of: (a) Placing order for treating substance/equipment, (b) Controlling water supply, (c) Controlling lighting, and (d) Controlling temperature. ### Claim 18 (depends on 10) The computer program product of claim 10, wherein the performing the treatment regimen includes performing each of (a) Controlling water supply, (b) Controlling lighting, and (c) Controlling temperature. ### Claim 19 A system comprising: a memory; one or more processor in communication with the memory; and program instructions executable by the one or more processor via the memory to perform a method for providing a clinical service for plants comprising: obtaining an input including an image of a plant from a camera; producing a diagnosis for the plant using the input; determining a treatment regimen for the plant using a repository that associates diagnoses to treatment regimens; and performing the treatment regimen for treatment of the plant. ### Claim 20 (depends on 19) The system of claim 19, wherein the producing a diagnosis includes identifying a species using the image.