Location-Specific Crop Irrigation for Precise Water Prediction
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Solution Overview
Problem
Existing crop irrigation systems lack precision in predicting and managing crop-realisable water values, leading to inefficiencies and suboptimal crop yields.
Innovation Solution
A location-specific irrigation management system that utilizes network-interfacing sensors, digital data processors, and irrigation deployment devices to predict and manage crop-realisable water values based on soil moisture, environmental data, and crop outcome data, adjusting irrigation applications to achieve desired water values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing crop irrigation systems use general irrigation models based on soil properties, then irrigation scheduling can be performed, but precision in predicting crop-realisable water values is insufficient
Solution Approach 1:
The system divides the crop field into multiple locations and calculates location-specific crop-realisable water characteristics by analyzing soil moisture values and irrigation signals at each individual location. This segmentation allows for precise predictions tailored to each location's unique conditions, resolving the contradiction between prediction precision and system complexity.
Solution Approach 2:
The patent implements location-specific irrigation management by calculating and storing crop-realisable water characteristics for each individual location. Each location receives customized irrigation recommendations based on its specific soil moisture data, environmental conditions, and historical performance, thereby achieving high precision without requiring a completely complex system architecture.
2Manufacturing precision
If irrigation systems apply water based on expected evapotranspiration and precipitation, then irrigation scheduling is simplified, but precision in matching actual crop water needs is reduced
Solution Approach 1:
The system continuously monitors actual soil moisture values and irrigation signals at each location, storing this data to calculate location-specific crop-realisable water characteristics. This feedback mechanism allows the system to adjust irrigation recommendations based on actual crop water needs rather than relying solely on expected evapotranspiration and precipitation, thereby improving precision while maintaining operational simplicity through automated data processing.
3Productivity
If fertigation systems apply nutrients based on sensed soil conductivity, then nutrient application can be controlled, but precision in optimizing crop yields is insufficient
Solution Approach 1:
The location-specific irrigation management system integrates multiple functions including soil moisture monitoring, environmental data collection, historical data analysis, and irrigation scheduling. By combining these functions into a unified system that calculates location-specific crop-realisable water characteristics, the system achieves precise crop yield optimization without requiring separate complex fertigation control systems, thereby improving productivity while maintaining measurement precision.
Data Source
AI summary
Described are various embodiments of a method for managing crop irrigation, and system using same.