Method and system for setting artificial ultraviolet illumination for plant
AssigneesSeoul National University R&Db Foundation, Chungbuk National University Industry-Academic Cooperation Foundation
InventorsJung Eek Son, Hyo In Yoon, Myung Min Oh
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Abstract
Provided is an artificial light source setting method and an artificial light source setting system for controlling secondary metabolites of plant and provide an artificial light source setting method and an artificial light source setting system for controlling secondary metabolites of plant, which predict content of the secondary metabolites of plant by measuring a light interception amount by using a cultivation environment of plant, a three-dimensional structure model of plant, and optical simulation and set an artificial light source according thereto.
Claims6
An artificial light source setting method for controlling secondary metabolites of plant, the artificial light source setting method comprising:
- generating a simulation model by using a three-dimensional structure model of the plant and light source data of a plant factory;
- predicting content of secondary metabolites of each of a plurality of leaves by analyzing light interception of each of the plurality of leaves included in the three-dimensional structure model of the plant;
- and
- deriving a light source setting value such that the content of secondary metabolites of each of the plurality of leaves has a preset value and changing an artificial light source setting of the plant factory according to the light source setting value,
- wherein the generating of the simulation model comprises:
- generating three-dimensional scan data of the plant by using a three-dimensional scanner;
- and generating a surface model by using the three-dimensional scan data,
- wherein the predicting of the content of secondary metabolites comprises:
- setting each of the plurality of leaves included in the surface model as a detector;
- and predicting a light interception amount of each of the plurality of leaves of the plant, and
- wherein the predicting of the content of secondary metabolites further comprises:
- receiving data on optical properties and the content of secondary metabolite of the plant;
- and performing linear regression analysis on the optical properties and the content of secondary metabolites of the plant.
An artificial light source setting system for controlling secondary metabolites of plant, the artificial light source setting system comprising:
- an artificial ultraviolet light source configured to generate light for cultivation of plant;
- a memory in which an optical simulation program is stored;
- a processor configured to execute an optical simulation program stored in the memory;
- and
- a three-dimensional scanner configured to scan the plant to generate three-dimensional scan data of the plant,
- wherein the processor executes the optical simulation program to generate a simulation model by using a three-dimensional structure model of the plant and light source data of a plant factory, predicting content of secondary metabolites of each of a plurality of leaves by analyzing light interception of each of the plurality of leaves included in the three-dimensional structure model of the plant, and deriving a light source setting value such that the content of secondary metabolites of each of the plurality of leaves has a preset value,
- wherein the artificial light source is controlled according to the light source setting value,
- wherein the processor executes the optical simulation program to generate a surface model by using the three-dimensional scan data,
- wherein the processor executes the optical simulation program to set each of the plurality of leaves included in the three-dimensional structure model of the plant as a detector, predict the light interception amount of each leaf of the plant, and predict the content of secondary metabolites accordingly, and
- wherein the processor executes the optical simulation program to receive data on optical properties and the content of secondary metabolite of the plant and perform linear regression analysis on the optical properties and the content of secondary metabolites of the plant.
Dependencies are inferred from the claim text.