3D Root Zone Irrigation Control for Spatial Water Precision
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Solution Overview
Problem
Existing irrigation systems lack the ability to efficiently manage water and other substances in plant root zones with high spatial and temporal resolution, often resulting in under or overwatering due to poor sensor resolution and reactive control methods that do not consider future needs or integrate business rules and remote data.
Innovation Solution
A fluid distribution control system that uses a controller to model and manage plant root zones in three dimensions, incorporating soil and crop models, moisture sensors, evapotranspiration data, and business rules to optimize water and substance distribution based on future needs, allowing for variable rates and precise application across different sub-areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional irrigation systems are used with gravity and simple pumps, then the system is simple and low cost, but water distribution precision and spatial resolution are poor
Solution Approach 1:
The system divides the field into multiple zones with different soil types, crop types, and water needs. Each zone is independently monitored and controlled, allowing precise water distribution tailored to specific areas rather than uniform irrigation across the entire field.
Solution Approach 2:
The system transitions from two-dimensional surface irrigation to three-dimensional root zone irrigation by placing sensors and distributing water at multiple depths within the soil profile, matching water application to the actual spatial distribution of plant roots.
2Reliability
If reactive control based on current soil moisture is used, then the control method is simple, but future water needs are not considered leading to under or overwatering
Solution Approach 1:
The system uses crop models and weather forecasts to predict future water needs before they occur. By anticipating evapotranspiration demands and soil moisture depletion trends, the system proactively schedules irrigation to maintain optimal moisture levels rather than reacting after deficits occur.
Solution Approach 2:
The system continuously monitors soil moisture at multiple depths and compares actual conditions against model predictions. This feedback loop allows the system to adjust irrigation scheduling in real-time, correcting deviations from optimal moisture levels and improving reliability over time.
3Productivity
If uniform water distribution is applied across the field, then the irrigation system is simple to operate, but spatial variability in soil and crop needs is not addressed
Solution Approach 1:
The system applies different water amounts, timing, and frequencies to different zones based on local soil properties, crop types, and root zone characteristics. Each zone receives customized irrigation schedules optimized for its specific conditions rather than uniform treatment across the entire field.
Solution Approach 2:
The system dynamically adjusts irrigation parameters including flow rate, duration, timing, and spatial distribution based on real-time sensor data, weather conditions, and crop needs. This allows optimization of water application efficiency while maintaining ease of automated operation.
4Quantity of substance
If deep wells and pumps are used to draw water from aquifers, then water can be obtained from great depths, but energy consumption and operational complexity increase
Solution Approach 1:
The system uses soil moisture sensors and crop models to precisely determine when and how much water is needed, minimizing unnecessary pumping. By matching water extraction to actual crop demands, the system reduces energy waste from pumping water that would not be used or would be applied in excess.
Solution Approach 2:
The system applies water at partial rates matched to actual root zone needs rather than uniform full-rate irrigation. By distributing water partially and selectively to zones that need it, the system reduces total water extraction and associated pumping energy requirements.
Data Source
AI summary
A method for managing substances in a plant root zone, including the steps of providing a fluid distribution system, controlling the fluid distribution system, modeling the plant root zone, and distributing the substances thereto. The fluid distribution system is associated with an agricultural area. The fluid distribution system is controlled by way of a controller. The plant root zone is modeled for a plurality of locations in the agricultural area. The modeling step incorporates a desired three-dimensional distribution of the substances for each of the plurality of locations for a future time period. Substances are distributed to the plurality of locations by way of the fluid distribution system under control of the controller. The controller is dependent upon the desired three-dimensional distribution and the future time.