Land Surface Model for Irrigation Precision
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current irrigation management systems rely on simplified representations of soil-plant-atmosphere interactions, neglecting complex factors like soil moisture distribution, root uptake, and sub-surface drainage, leading to inefficiencies and potential crop stress.
Innovation Solution
A system combining weather and climatological data with land surface models and crop-specific information to simulate soil-plant-atmosphere systems, using spatially and temporally disaggregated satellite data to optimize irrigation scheduling and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simplified representations of soil-plant-atmosphere interactions are used, then device complexity is reduced, but irrigation efficiency and measurement precision deteriorate
Solution Approach 1:
The patent segments the soil-plant-atmosphere system into distinct components (soil moisture layers, plant root zones, atmospheric boundaries) and models each separately with appropriate physical equations. This allows complex interactions to be represented through multiple simplified sub-models rather than one overly complex monolithic model, resolving the contradiction between model complexity and precision.
Solution Approach 2:
The patent applies local quality by using spatially varying parameters and properties at different locations within the field (e.g., soil texture, organic matter content, root distribution). Each location is modeled with its specific characteristics rather than uniform assumptions, improving irrigation scheduling precision while keeping the overall framework manageable through modular implementation.
2Productivity
If complex factors like soil moisture distribution and root uptake are included, then irrigation efficiency improves, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical measurement systems with physics-based mathematical models that simulate soil moisture distribution, root uptake, and evapotranspiration processes. Instead of deploying numerous physical sensors throughout the soil profile, the system uses coupled differential equations to predict moisture dynamics, improving irrigation efficiency while avoiding the complexity of extensive hardware deployment.
Solution Approach 2:
The patent creates a multi-functional modeling framework that simultaneously handles soil moisture transport, plant water uptake, evaporation, and irrigation scheduling within a unified system. This universal model serves multiple purposes (prediction, optimization, monitoring) without requiring separate complex systems for each function, thereby improving productivity while controlling overall complexity.
3Measurement precision
If spatially and temporally disaggregated satellite data is used, then measurement precision improves, but loss of information and processing complexity increase
Solution Approach 1:
The patent introduces an intermediary data processing layer that aggregates and synthesizes spatially and temporally disaggregated satellite data into meaningful metrics (e.g., evapotranspiration rates, soil moisture estimates). This intermediary layer translates raw high-resolution data into actionable information for the irrigation model, improving measurement precision while preventing information overload and processing bottlenecks.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances irrigation efficiency by providing precise, spatially varying recommendations for irrigation, reducing water and nutrient losses, and promoting optimal crop growth by accounting for field-specific conditions and crop needs.
Implementation Method 1
Evaporation accounts for the conversion of liquid water resident near the soil surface or on the plant itself into a gaseous form
Implementation Method 2
Transpiration is the process by which moisture is carried through plants from roots to small pores on the leaves (called 'stomata'), where it changes to vapor and is released to the atmosphere
Implementation Method 3
capillary action, and root uptake of moisture within any number of layers within a soil profile
Implementation Method 4
gravitational drainage, vapor diffusion, capillary action, and root uptake of moisture within any number of layers within a soil profile
Implementation Method 5
gravitational drainage, vapor diffusion, capillary action, and root uptake of moisture within any number of layers within a soil profile
Data Source
AI summary
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.