Enhancing photosynthesis using IoT

Patent metadata

Field	Value
Publication number	US-12478003-B2
Application number	US-202318184715-A
Country	US
Kind code	B2
Filing date	Mar 16, 2023
Priority date	Mar 16, 2023
Publication date	Nov 25, 2025
Grant date	Nov 25, 2025

Abstract

The present inventive provides for a method of enhancing photosynthesis using IoT. The method includes obtaining data related to at least one crop and at least one location. Respective crop features and location features are extracted from the obtained data. At least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location is determined based on the extracted crop features and location features. Ameliorative actions are calculated based on the determined at least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location.

First claim

What is claimed is:

1 . A method of enhancing photosynthesis using IoT, the method comprising:
obtaining data related to at least one crop and at least one location; extracting respective crop features and location features from the obtained data; determining at least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location based on the extracted crop features and location features; presenting to a user, through a user interface, the determined at least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location as statistical probabilities of occurrence and quantified effects; and calculating ameliorative actions based on the determined at least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location.

2 . The method of claim 1 , further comprising:
performing the calculated ameliorative actions, wherein the performing the calculated ameliorative actions includes altering a position of at least one reflector or mirror relative to the at least one crop at the location.

3 . The method of claim 2 , wherein the altering of the position of the at least one reflector or mirror is based on real-time or projected sunlight irradiance to the at least one crop or real-time or projected location temperature.

4 . The method of claim 2 , wherein the altering of the position of the at least one reflector or mirror occurs by automatically in gradual increments that correspond to the time of day and sun position unless real-time or projected weather deviations occur.

5 . The method of claim 2 , wherein the performing of the ameliorative actions is based at least in part on a cost-benefit analysis.

6 . The method of claim 2 , wherein the performing of the ameliorative actions includes reflecting sunlight irradiance or heat to the at least one crop by multiple reflectors.

7 . The method of claim 1 , wherein the obtaining data related to the at least one crop and the at least one location occurs upon a triggering event and includes real-time data.

8 . A computer program product for enhancing photosynthesis using IoT, the computer program product comprising:
one or more non-transitory computer-readable storage media and program instructions stored on the one or more non-transitory computer-readable storage media capable of performing a method, the method comprising:
obtaining data related to at least one crop and at least one location;
extracting respective crop features and location features from the obtained data;
determining at least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location based on the extracted crop features and location features;
presenting to a user, through a user interface, the determined at least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location as statistical probabilities of occurrence and quantified effects; and
calculating ameliorative actions based on the determined at least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location.

9 . The computer program product of claim 8 , further comprising:
performing the calculated ameliorative actions, wherein the performing the calculated ameliorative actions includes altering a position of at least one reflector or mirror relative to the at least one crop at the location, wherein the at least one reflector or mirror shares a panel with a photoabsorbent material.

10 . The computer program product of claim 9 , wherein the altering of the position of the at least one reflector or mirror is based on real-time or projected sunlight irradiance to the at least one crop or real-time or projected location temperature.

11 . The computer program product of claim 9 , wherein the altering of the position of the at least one reflector or mirror occurs by automatically in gradual increments that correspond to the time of day and sun position unless real-time or projected weather deviations occur.

12 . The computer program product of claim 9 , wherein the performing of the ameliorative actions is based at least in part on a cost-benefit analysis.

13 . The computer program product of claim 9 , wherein the performing of the ameliorative actions includes reflecting sunlight irradiance or heat to the at least one crop by multiple reflectors.

14 . The computer program product of claim 8 , wherein the obtaining data related to the at least one crop and the at least one location occurs upon a triggering event and includes real-time data.

15 . A computer system for enhancing photosynthesis using IoT, the computer system comprising:
one or more computer processors, one or more computer-readable storage media, and program instructions stored on the one or more of the computer-readable storage media for execution by at least one of the one or more processors capable of performing a method, the method comprising:
obtaining data related to at least one crop and at least one location;
extracting respective crop features and location features from the obtained data;
determining at least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location based on the extracted crop features and location features;
presenting to a user, through a user interface, the determined at least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location as statistical probabilities of occurrence and quantified effects; and
calculating ameliorative actions based on the determined at least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location.

16 . The computer system of claim 15 , further comprising:
performing the calculated ameliorative actions, wherein the performing the calculated ameliorative actions includes altering a position of at least one reflector or mirror relative to the at least one crop at the location.

17 . The computer system of claim 16 , wherein the altering of the position of the at least one reflector or mirror is based on real-time or projected sunlight irradiance to the at least one crop or real-time or projected location temperature.

18 . The computer system of claim 16 , wherein the altering of the position of the at least one reflector or mirror occurs by automatically in gradual increments that correspond to the time of day and sun position unless real-time or projected weather deviations occur.

19 . The computer system of claim 16 , wherein the performing of the ameliorative actions is based at least in part on a cost-benefit analysis.

20 . The computer system of claim 15 , wherein the obtaining data related to the at least one crop and the at least one location occurs upon a triggering event and includes real-time data.

Assignees

• IBM

Inventors

• Patel Mohammad Saad Nazimuddin
• Hazra Jagabondhu
• Padmanaban Manikandan
• Rakshit Sarbajit K

Classifications

• G16Y10/05

  Agriculture · CPC title

• G16Y40/10

  Detection; Monitoring · CPC title

• G16Y20/10

  relating to the environment, e.g. temperature; relating to location · CPC title

• G16Y40/30

  Control · CPC title

• A01G9/249

  Lighting means (with special arrangements for promoting growth A01G7/045) · CPC title