Automated irrigation control system

• US 10,241,488 B2
• Filed: 08/29/2017
• Issued: 03/26/2019
• Est. Priority Date: 01/08/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bermudez Rodriguez, Sergio A., Hamann, Hendrik F., Klein, Levente, Marianno, Fernando J.
• Primary Examiner(s): Connolly, Mark A
• Application Number:
  US15/688,922
• Publication Number:
  US 20170357230A1
• Time in Patent Office: 574 Days
• CPC Class Codes: A01G 25/16 Control of watering
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 19/042 using digital processors G05B19/05 takes precedence
• CPC Class Codes: G05B 2219/2625 Sprinkler, irrigation, watering
• CPC Class Codes: Y02A 40/22 Improving land use; Improving water use or availability; Controlling erosion

Abstract

An automated irrigation control comprising crop sensor physically attached to a crop and a light sensitive sensor having a photo-detector for monitoring light intensity of a crop, an irrigation conduit extending along the span of the irrigation zone and adapted to carry fluid, with one or more controllable valves and sensors, growth sensors placed in close proximity of the crop sensors, a computer control system, an irrigation controller, and a communications link between the computer control system, the one or more crop sensor, the three or more growth sensors, and the irrigation controller.

Claims

1. A method for automated irrigation control, the method comprising;

monitoring a received light intensity of a crop;

converting the light intensity of a crop into electronic data;

determining crop health conditions based on a water invariant chlorophyll index and a second vegetation index, wherein determining crop health comprises;

calculating a first vegetation index using detected light;

calculating the water invariant chlorophyll index from the first vegetative index using a plurality of spectral bands; and

referencing the first vegetation index to the second vegetation index, wherein the second vegetation index comprises past electronic data collected, and is calculated from the same crop location;

determining an irrigation schedule based on the crop health conditions;

calculating a projected health value of the crop based on one or more crop conditions that include a reflection spectral image, a temperature value of the crop, and an orientation of crop leaves during high heat periods;

adjusting the irrigation schedule based on forecasted weather data, the calculated projected health value, and a time period;

monitoring the light intensity of the crop over the time period; and

adjusting the irrigation schedule based on the projected health value crossing being between a predetermined range of threshold values.

2. The method in accordance with claim 1, wherein monitoring the light intensity of a crop comprises:

detecting light of a visible wavelength from a solid-state polychromatic light source and light of a second, infrared wavelength from the light source, modulating the light source, and setting and monitoring optical power of the light source; and

receiving reflected visible light originating from the light source in a reflected light receiver comprising a photo-detector sensitive to visible light, and reducing the effects of soil background ambient light on the photo-detector.

3. The method in accordance with claim 1, wherein monitoring the light intensity of a crop comprises:

detecting light of a visible wavelength through a filter of red, blue, green and infrared wavelengths.

4. The method of claim 1, further comprising;

measuring a crop growth parameter using the radio frequency identification based on a triangulation method;

analyzing the growth parameter measurements to generate a normalized response function for the crop; and

calculating a crop health value based on the crop conditions, wherein the crop conditions further comprise;

a reflection spectral image; and

a temperature value of the crop

an orientation of crop leaves during high heat periods.

5. The method in accordance with claim 1, wherein converting the light intensity of a crop into electronic data comprises one or more of measuring the value level of light reflected by the crop from ambient light and calculating a temperature of the leaves.

6. The method of claim 1, wherein determining an irrigation schedule further comprises:

obtaining a previous irrigation rates for the crop;

assigning the irrigation rate for each grid cell of the crop;

transmitting the irrigation rate and schedule to the irrigation controller;

transmitting the irrigation schedule at one or more time period;

periodically adjusting the irrigation schedule based on the crop sensors; and

periodically adjusting the irrigation schedule based one or more of weather forecasting and the crop health.

7. The method in accordance with claim 1, wherein monitoring the light intensity of a crop comprises:

detecting light of a visible wavelength through a dual filter comprising of red, and infrared wavelengths.

8. The method in accordance with claim 1, further comprising:

calculating the first vegetation index using a data correction algorithm;

receiving, the calculated first vegetation index;

calculating a water needed value based on the calculated first vegetation index; and

determining resource distribution through an irrigation conduit based on the calculated first vegetation index.

9. A computer program product for automated irrigation control, the computer program product comprising:

one or more computer-readable storage media and program instructions stored on the one or more computer-readable storage media, the program instructions comprising;

instructions to monitor a received light intensity of a crop;

instructions to convert the light intensity of a crop into electronic data;

instructions to determine crop health conditions based on a water invariant chlorophyll index and a second vegetation index, wherein instructions to determine crop health comprises;

instructions to calculate a first vegetation index using detected light;

instructions to calculate the water invariant chlorophyll index from the first vegetative index using a plurality of spectral bands; and

instructions to reference the first vegetation index to the second vegetation index, wherein the second vegetation index comprises past electronic data collected, and is calculated from the same crop location;

instructions to determine an irrigation schedule based on the crop health conditions;

instructions to calculating a projected health value of the crop based on one or more crop conditions that include a reflection spectral image, a temperature value of the crop, and an orientation of crop leaves during high heat periods;

instructions to adjust the irrigation schedule based on forecasted weather data, the calculated projected health value, and a time period;

instructions to monitor the light intensity of the crop over the time period; and

instructions to adjust the irrigation schedule based on the projected health value crossing being between a predetermined range of threshold values.

10. The computer program product in accordance with claim 9, wherein instructions to monitor the light intensity of a crop comprises:

instructions to detect light of a visible wavelength from a solid-state polychromatic light source and light of a second, infrared wavelength from the light source, modulating the light source, and setting and monitoring optical power of the light source; and

instructions to receive reflected visible light originating from the light source in a reflected light receiver comprising a photo-detector sensitive to visible light, and reducing the effects of soil background ambient light on the photo-detector.

11. The computer program product in accordance with claim 9, wherein instructions to monitor the light intensity of a crop comprises:

instructions to detect light of a visible wavelength through a filter of red, blue, green and infrared wavelengths.

12. The computer program product of claim 9, further comprising;

instructions to measure a crop growth parameter using the radio frequency identification based on a triangulation method;

instructions to analyze the growth parameter measurements to generate a normalized response function for the crop; and

instructions to calculate a crop health value based on the crop conditions, wherein the crop conditions further comprise;

a reflection spectral image; and

a temperature value of the crop

an orientation of crop leaves during high heat periods.

13. The computer program product in accordance with claim 9, wherein instructions to convert the light intensity of a crop into electronic data comprises one or more of instructions to measure the value level of light reflected by the crop from ambient light and instructions to calculate a temperature of the leaves.

14. The computer program product of claim 9 wherein instructions to determine an irrigation schedule further comprises:

instructions to obtain a previous irrigation rates for the crop;

instructions to assign the irrigation rate for each grid cell of the crop;

instructions to transmit the irrigation rate and schedule to the irrigation controller;

instructions to transmit the irrigation schedule at one or more time period;

instructions to periodically adjust the irrigation schedule based on the crop sensors; and

instructions to periodically adjust the irrigation schedule based one or more of weather forecasting and the crop health.

15. The computer program product in accordance with claim 9, wherein instructions to monitor the light intensity of a crop comprises:

instructions to detect light of a visible wavelength through a dual filter comprising of red, and infrared wavelengths.

16. The computer program product in accordance with claim 9, further comprising:

instructions to calculate the first vegetation index using a data correction algorithm;

instructions to receive, the calculated first vegetation index;

instructions to calculate a water needed value based on the calculated first vegetation index; and

instructions to determine resource distribution through an irrigation conduit based on the calculated first vegetation index.

17. A computer system for automated irrigation control the computer system comprising:

one or more computer processors;

one or more computer-readable storage media;

program instructions stored on the computer-readable storage media for execution by at least one of the one or more processors, the program instructions comprising;

instructions to monitor a received light intensity of a crop;

instructions to convert the light intensity of a crop into electronic data;

instructions to determine crop health conditions based on a water invariant chlorophyll index and a second vegetation index, wherein instructions to determine crop health comprises;

instructions to calculate a first vegetation index using detected light;

instructions to calculate the water invariant chlorophyll index from the first vegetative index using a plurality of spectral bands; and

instructions to reference the first vegetation index to the second vegetation index, wherein the second vegetation index comprises past electronic data collected, and is calculated from the same crop location;

instructions to determine an irrigation schedule based on the crop health conditions;

instructions to calculating a projected health value of the crop based on one or more crop conditions that include a reflection spectral image, a temperature value of the crop, and an orientation of crop leaves during high heat periods;

instructions to adjust the irrigation schedule based on forecasted weather data, the calculated projected health value, and a time period;

instructions to monitor the light intensity of the crop over the time period; and

instructions to adjust the irrigation schedule based on the projected health value crossing being between a predetermined range of threshold values.