Granted Patent B2

US 12,369,539 · App. 18/012,166 · Granted Jul 29, 2025

Inventors: Ran Pelta (Golan Heights, IL); Ofer Beeri (Kibbutz Yagur, IL); Tal Shilo (Yokneam, IL); Shay Mey-tal (Herzliya, IL)

Assignee: Manna Irrigation Ltd.

A01G25/16G05B19/042G05B2219/2625

Abstract

Claims (104)

1. A computerized method for managing irrigation of a crop in a field plot for a growing season, the method comprising:

receiving values of one or more forecast global independent variables (GIVs);

applying a global remote sensing product (RSP) model to the received values of the forecast GIVs and, responsive to the applied global RSP model, determining forecast global RSP values;

receiving values of forecast plot-specific independent variables (PSIVs) associated with the field plot;

applying a plot-specific RSP model to the received values of the forecast PSIVs and, responsive to the applied plot-specific RSP model, determining forecast plot-specific RSP values;

receiving a forecasted reference evapotranspiration (ET0) associated with the field plot; and

receiving one or more actual plot-specific RSP values associated with the field plot,

wherein, responsive to the forecast global RSP values, the forecast plot-specific RSP values, the forecast ET0 and the actual plot-specific RSP values, the method further comprises:

generating a first crop evapotranspiration (ETc) curve;

responsive to the generated first ETc curve, determining a growing season water amount for the field plot and/or determining a next irrigation water amount for the field plot; and

outputting to a device the determined growing season water amount and/or the determined next irrigation water amount such that irrigation of the field plot can be adjusted.

2. The method of claim 1 , wherein the global RSP model comprises a plurality of sub-models, each of the plurality of sub-models associated with a respective global attribute.

3. The method of claim 1 , wherein the receiving values of forecast GIVs is performed at respective predetermined intervals during the growing season,

wherein the receiving values of forecast PSIVs is performed at respective predetermined intervals during the growing season, and

wherein the receiving actual plot-specific RSP values is performed at respective predetermined intervals during the growing season.

4. The method according to claim 1 , further comprising:

responsive to the actual plot-specific RSP values and the forecast ET0, generating a second ETc curve;

responsive to the forecast global RSP values and the forecast ET0, generating a third ETc curve; and

responsive to the forecast plot-specific RSP values and the forecast ET0, generating a fourth ETc curve,

wherein the generation of the first ETc curve is responsive to the second, third and fourth ETc curves.

5. The method according to claim 4 , further comprising:

determining a respective difference between a historical ETc curve associated with the field-plot and historical curves of the second, third and fourth ETc curves; and

responsive to the determined differences, determining a respective weight for each of the second, third and fourth ETc curves,

wherein the generation of the first ETc curve is further responsive to the respective weights for each of the second, third and fourth ETc curves.

6. The method according to claim 1 , further comprising:

receiving values of past/present GIVs;

applying the global RSP model to the received values of the past/present GIVs and, responsive to the applied global RSP model, determining seasonal global RSP values;

receiving values of past/present PSIVs associated with the field plot;

applying the plot-specific RSP model to the received values of the past/present PSIVs and, responsive to the applied plot-specific RSP model, determining seasonal plot-specific RSP values;

receiving a value associated with a historical ET0 associated with the field plot; and

receiving a crop coefficient (Kc) associated with the field plot,

wherein, responsive to the seasonal global RSP values, the seasonal plot-specific RSP values, the historical ET0 value and the Kc, the method further comprises:

generating a fifth ETc curve; and

responsive to the determined fifth ETc curve and the generated first ETc curve, generating a sixth ETc curve, the determination of the growing season water amount for the field plot responsive to the generated sixth ETc curve.

7. The method according to claim 6 , further comprising performing a summation of the sixth ETc curve, the determination of the growing season water amount for the field plot responsive to an outcome of the summation of the sixth ETc curve.

8. The method according to claim 6 , further comprising:

responsive to the historical ET0 value and the Kc, generating a seventh ETc curve;

responsive to the seasonal global RSP values and the historical ET0 value, generating an eighth ETc curve; and

responsive to the seasonal plot-specific RSP values and the historical ET0 value, generating a ninth ETc curve,

wherein the generation of the fifth ETc curve is responsive to the seventh, eighth and ninth ETc curves.

9. The method according to claim 8 , further comprising:

determining a respective difference between a historical ETc curve associated with the field-plot and historical curves of each of the seventh, eighth and ninth ETc curves; and

responsive to the determined differences, determining a respective weight for each of the seventh, eighth and ninth ETc curves,

wherein the generation of the fifth ETc curve is further responsive to the respective weights for each of the seventh, eighth and ninth ETc curves.

10. The method according to claim 8 , further comprising:

responsive to the first ETc curve and the fifth ETc curve, determining one or more regression functions defining a relationship between the first ETc curve and the fifth ETc curve; and

comparing a regression metric of the determined one or more regression functions to a predetermined threshold,

wherein, responsive to an outcome of the comparison indicating that the regression metric is greater than the predetermined threshold, the sixth ETc curve is a product of the fifth ETc curve and regression coefficients of the predetermined regression function, and

wherein, responsive to the outcome of the comparison indicating that the regression metric is not greater than the predetermined threshold, the sixth ETc curve is a respective predetermined function of the first ETc curve, the eight ETc curve and the ninth ETc curve.

11. The method according to claim 8 , wherein the sixth ETc curve is a respective predetermined function of the first and fifth ETc curves.

12. The method according to claim 8 , further comprising:

receiving actual global RSP values;

applying a first plot water stress (PWS) model to the received actual global RSP values measured plot-specific RSP values and, responsive to the applied first PWS model, determining a first set of PWS coefficient values for global plots;

responsive to the generated eighth ETc curve, defining a plurality of periods within the growing season associated with growth phases of the crop;

applying a second PWS model to the determined first set of PWS coefficient values and, responsive to the applied second PWS model, determining a past/present PWS curve for a crop of the field plot for each of the plurality of periods;

receiving flux data and/or thermal measurements of the global plots;

applying a third PWS model to the received flux data and/or thermal measurements;

responsive to the applied third PWS model, determining a second set of PWS coefficient values for the field plot, the second set of PWS coefficient values for the field plot input into the second PWS model such that the determined past/present PWS curve is responsive to the second set of PWS coefficient values;

applying a fourth PWS model to the receive flux data and/or thermal measurements;

responsive to the applied fourth PWS model, determining a PWS reduction rate;

responsive to the determined PWS reduction rate and the past/present PWS curve, determining forecast PWS values for the field plot; and

responsive to the determined past/present PWS curve, the determined forecast PWS values and the first ETc curve, generating a tenth ETc curve,

wherein the determination of the next irrigation water amount for the field plot is responsive to the generated tenth ETc curve.

13. The method of claim 12 , wherein the first set of PWS coefficient values comprises a plurality of subsets of PWS coefficient values, each of the plurality of subsets associated with a respective one of a plurality of portions of the field plot,

wherein the method further comprises applying a fifth PWS model to the first set of PWS coefficient values and, responsive to the applied fifth PWS model, determining a respective optimal PWS curves for each of the plurality of portions of the field plot for each of the plurality of periods, and

wherein the generation of the tenth ETc curve is further responsive to the respective optimal PWS curves for each of the plurality of portions of the field plot.

14. The method of claim 12 , further comprising, responsive to the forecast PWS values for the field plot, determining an optimal date for the next irrigation of the field plot.

15. A system for managing irrigation of a crop in a field plot for a growing season, the system comprising:

one or more processors;

a communication unit; and

a memory, the memory having a plurality of instructions stored thereon, the plurality of instructions arranged, when executed by the one or more processors, to cause the one or more processors to:

responsive to the communication unit, receive values of one or more forecast global independent variables (GIVs);

apply a global remote sensing product (RSP) model to the received values of the forecast GIVs and, responsive to the applied global RSP model, determine forecast global RSP values;

responsive to the communication unit, receive values of forecast plot-specific independent variables (PSIVs) associated with the field plot;

applying a plot-specific RSP model to the received values of the forecast PSIVs and, responsive to the applied plot-specific RSP model, determining forecast plot-specific RSP values;

responsive to the communication unit, receive a forecasted reference evapotranspiration (ET0) associated with the field plot; and

responsive to the communication unit, receive one or more actual plot-specific RSP values associated with the field plot,

wherein, responsive to the forecast global RSP values, the forecast plot-specific RSP values, the forecast ET0 and the actual plot-specific RSP values, the plurality of instructions are further arranged to cause the one or more processors to:

generate a first crop evapotranspiration (ETc) curve;

responsive to the generated first ETc curve, determine a growing season water amount for the field plot and/or determine a next irrigation water amount for the field plot; and

output, via the communication unit, to a device the determined growing season water amount and/or the determined next irrigation water amount such that irrigation of the field plot can be adjusted.

16. The system of claim 15 , wherein the global RSP model comprises a plurality of sub-models, each of the plurality of sub-models associated with a respective global attribute.

17. The system of claim 15 , wherein the receipt of values of forecast GIVs is performed at respective predetermined intervals during the growing season,

wherein the receipt of values of forecast PSIVs is performed at respective predetermined intervals during the growing season, and

wherein the receipt of actual plot-specific RSP values is performed at respective predetermined intervals during the growing season.

18. The system according to claim 15 , wherein the plurality of instructions are further arranged to cause the one or more processors to:

responsive to the actual plot-specific RSP values and the forecast ET0, generate a second ETc curve;

responsive to the forecast global RSP values and the forecast ET0, generate a third ETc curve; and

responsive to the forecast plot-specific RSP values and the forecast ET0, generate a fourth ETc curve,

wherein the generation of the first ETc curve is responsive to the second, third and fourth ETc curves.

19. The system according to claim 18 , wherein the plurality of instructions are further arranged to cause the one or more processors to:

determine a respective difference between a historical ETc curve associated with the field-plot and historical curves of the second, third and fourth ETc curves; and

responsive to the determined differences, determine a respective weight for each of the second, third and fourth ETc curves, and

wherein the generation of the first ETc curve is further responsive to the respective weights for each of the second, third and fourth ETc curves.

20. The system according to claim 15 , wherein the plurality of instructions are further arranged to cause the one or more processors to:

responsive to the communication unit, receive values of past/present GIVs;

apply the global RSP model to the received values of the past/present GIVs and, responsive to the applied global RSP model, determine seasonal global RSP values;

responsive to the communication unit, receive values of past/present PSIVs associated with the field plot;

apply the plot-specific RSP model to the received values of the past/present PSIVs and, responsive to the applied plot-specific RSP model, determine seasonal plot-specific RSP values;

responsive to the communication unit, receive a value associated with a historical ET0 associated with the field plot; and

responsive to the communication unit, receive a crop coefficient (Kc) associated with the field plot, and

wherein, responsive to the seasonal global RSP values, the seasonal plot-specific RSP values, the historical ET0 value and the Kc, the plurality of instructions are further arranged to cause the one or more processors to:

generate a fifth ETc curve; and

responsive to the determined fifth ETc curve and the generated first ETc curve, generate a sixth ETc curve, the determination of the growing season water amount for the field plot responsive to the generated sixth ETc curve.

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (24)