CUSTOMIZED LAND SURFACE MODELING IN A SOIL-CROP SYSTEM FOR IRRIGATION DECISION SUPPORT IN PRECISION AGRICULTURE
First Claim
1. A method, comprising:
- ingesting, as input data, weather and climatological information that includes at least one of historical field-level weather data and extended-range weather forecast data, crop-specific information relative to a particular field, soil profile data derived from one or more soil samples taken in the particular field over time, and field management data relating to crop and soil management practices in the particular field over time;
modeling the input data in a plurality of data processing modules within a computing environment in which the plurality of data processing modules are executed in conjunction with at least one specifically-configured processor, the data processing modules configured to assess a state of moisture content of a soil-crop system in the particular field over time, by1) diagnosing and predicting expected weather conditions at or near the particular field from the weather and climatological information,
2) aggregating the expected weather conditions, the crop-specific information, the soil profile data, and the field management data in a land surface model customized to simulate crop water usage over time, soil moisture depletion at multiple depths within the soil-crop system over time, and soil-water characteristics at the multiple depths relative to one or more crop growth stages over a crop growing season in the particular field, the soil-water characteristics including a depth profile of water extraction by the crop at the one or more growth stages, an adequacy of water supply at the multiple depths, and an impact of prior irrigation activity on the state of moisture content, and
3) comparing actual crop moisture use relating to crop root water uptake from within the soil-crop system, and vertical variations in moisture content at the multiple depths, obtained from observations taken by one or more sensors over time in the particular field, to adjust one or more simulation parameters in the land surface model based on identified differences between the simulations and the observations taken by the one or more sensors for modeling the crop water usage, soil moisture depletion and soil-water characteristics at the multiple depths, and estimating moisture content in the soil-crop system at any point in the crop growing season in one more additional simulations; and
generating, as output data, a root zone moisture profile representing the state of moisture content of the soil-crop system in the particular field over the crop growing season from the simulated crop water usage, soil moisture depletion and the soil-water characteristics.
3 Assignments
0 Petitions
Accused Products
Abstract
An irrigation modeling framework in precision agriculture utilizes a combination of weather data, crop data, and other agricultural inputs to create customized agronomic models for diagnosing and predicting a moisture state in a field, and a corresponding need for, and timing of, irrigation activities. Specific combinations of various agricultural inputs can be applied, together with weather information to identify or adjust water-related characteristics of crops and soils, to model optimal irrigation activities and provide advisories, recommendations, and scheduling guidance for targeted application of artificial precipitation to address specific moisture conditions in a soil system of a field.
-
Citations
30 Claims
-
1. A method, comprising:
-
ingesting, as input data, weather and climatological information that includes at least one of historical field-level weather data and extended-range weather forecast data, crop-specific information relative to a particular field, soil profile data derived from one or more soil samples taken in the particular field over time, and field management data relating to crop and soil management practices in the particular field over time; modeling the input data in a plurality of data processing modules within a computing environment in which the plurality of data processing modules are executed in conjunction with at least one specifically-configured processor, the data processing modules configured to assess a state of moisture content of a soil-crop system in the particular field over time, by 1) diagnosing and predicting expected weather conditions at or near the particular field from the weather and climatological information,
2) aggregating the expected weather conditions, the crop-specific information, the soil profile data, and the field management data in a land surface model customized to simulate crop water usage over time, soil moisture depletion at multiple depths within the soil-crop system over time, and soil-water characteristics at the multiple depths relative to one or more crop growth stages over a crop growing season in the particular field, the soil-water characteristics including a depth profile of water extraction by the crop at the one or more growth stages, an adequacy of water supply at the multiple depths, and an impact of prior irrigation activity on the state of moisture content, and
3) comparing actual crop moisture use relating to crop root water uptake from within the soil-crop system, and vertical variations in moisture content at the multiple depths, obtained from observations taken by one or more sensors over time in the particular field, to adjust one or more simulation parameters in the land surface model based on identified differences between the simulations and the observations taken by the one or more sensors for modeling the crop water usage, soil moisture depletion and soil-water characteristics at the multiple depths, and estimating moisture content in the soil-crop system at any point in the crop growing season in one more additional simulations; and
generating, as output data, a root zone moisture profile representing the state of moisture content of the soil-crop system in the particular field over the crop growing season from the simulated crop water usage, soil moisture depletion and the soil-water characteristics. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
-
-
12. A method, comprising:
-
within a computing environment comprised of a computer processor and at least one computer-readable storage medium operably coupled to the computer processor and having program instructions stored therein, the computer processor being operable to execute the program instructions to assess a state of moisture content of a soil-crop system in a particular field over time in an irrigation advisory model by; predicting expected weather conditions impacting moisture conditions at multiple depths of a crop root zone in the soil-crop system in the particular field, by applying weather and climatological information comprised of historical field-level weather data and extended-range weather forecast data to one or more predictive numerical weather models; simulating crop water usage over time, soil moisture depletion at multiple depths within the soil-crop system over time and soil-water characteristics at the multiple depths relative to one or more crop growth stages over a crop growing season in the particular field, by aggregating the expected weather conditions, crop-specific information, soil profile data derived from one or more soil samples taken in the particular field over time, and the field management data in a customized land surface model, and comparing actual crop moisture use relating to crop root water uptake from within the soil-crop system, and vertical variations in moisture content at the multiple depths, obtained from observations taken by one or more sensors over time in the particular field, to adjust one or more simulation parameters in the land surface model based on identified differences between the simulations and the observations taken by the one or more sensors for modeling the crop water usage, soil moisture depletion and soil-water characteristics at the multiple depths, and estimating moisture content in the soil-crop system at any point in the crop growing season in one more additional simulations, wherein the soil-water characteristics include a depth profile of water extraction by the crop at the one or more growth stages, an adequacy of water supply at the multiple depths, and an impact of prior irrigation activity on the state of moisture content, to profile root zone moisture from the simulated from the simulated crop water usage over time, soil moisture depletion and the soil-water characteristics; and preparing one or more irrigation recommendations for an application of artificial precipitation for the particular field over time from the profile of root zone moisture. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21)
-
-
22. A system comprising:
-
a computing environment including at least one computer-readable storage medium having program instructions stored therein and a computer processor operable to execute the program instructions to assess a state of moisture content of a soil-crop system in the particular field over time in an irrigation advisory model within a plurality of data processing modules, the plurality of data processing modules including; a weather modeling module configured to predict expected weather conditions impacting moisture conditions at multiple depths of the soil-crop system in the particular field, by applying weather and climatological information comprised of historical field-level weather data and extended-range weather forecast data to one or more predictive numerical weather models; one or more modules configured to simulate crop water usage over time, soil moisture depletion at multiple depths within the soil-crop system over time and soil-water characteristics at the multiple depths relative to one or more crop growth stages over a crop growing season in the particular field, by aggregating the expected weather conditions, crop-specific information, soil profile data derived from one or more soil samples taken in the particular field over time, and the field management data in a customized land surface model, and comparing actual crop moisture use relating to crop root water uptake from within the soil-crop system, and vertical variations in moisture content at the multiple depths, obtained from observations taken by one or more sensors over time in the particular field, to adjust one or more simulation parameters in the land surface model based on identified differences between the simulations and the observations taken by the one or more sensors for modeling the crop water usage, soil moisture depletion and soil-water characteristics at the multiple depths, and estimating moisture content in the soil-crop system at any point in the crop growing season in one more additional simulations, wherein the soil-water characteristics include a depth profile of water extraction by the crop at the one or more growth stages, an adequacy of water supply at the multiple depths, and an impact of prior irrigation activity on the state of moisture content, to profile root zone moisture from the simulated crop water usage over time, soil moisture depletion and the soil-water characteristics; and an irrigation scheduling module configured to generate one or more irrigation recommendations for an application of artificial precipitation for the particular field over time from the profile of root zone moisture. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29, 30)
-
Specification