Irrigation Scheduling Interface for Integrated Field Data Analysis
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Solution Overview
Problem
Current irrigation management systems lack integration and easy data display, requiring multiple software platforms and manual effort to combine and analyze field, crop, and irrigation data, leading to inefficiencies and increased costs for growers.
Innovation Solution
A system with an irrigation scheduling module and graphical user interface that calculates and displays irrigation recommendations, integrating data from various sources, including field moisture status, using a circle representation that changes based on soil moisture levels, to provide actionable data analysis for growers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple software platforms are used to view and analyze field, crop, and irrigation data, then data coverage is improved, but system complexity and cost increase
Solution Approach 1:
The patent combines multiple data sources (field data, crop data, irrigation data, weather data, commodity pricing) into a single integrated software platform. The system merges these previously separate platforms into one unified interface that displays all information simultaneously, eliminating the need for growers to switch between multiple applications while maintaining complete data coverage.
Solution Approach 2:
The integrated platform performs multiple functions within a single system: viewing field data, analyzing crop conditions, monitoring irrigation status, tracking weather patterns, and calculating commodity pricing. This multi-functional approach replaces several specialized software tools with one universal platform that handles all irrigation management tasks.
2Loss of information
If manual data combination and analysis is performed, then data integration is achieved, but time consumption increases
Solution Approach 1:
The system automatically performs data integration, combination, and analysis without requiring manual intervention. The platform self-services by continuously collecting data from multiple sources, processing the information through integrated algorithms, and generating irrigation recommendations automatically. This eliminates the time-consuming manual work previously required while maintaining complete data integration.
Solution Approach 2:
The system pre-processes and integrates data from all sources in the background before the grower needs to view it. By performing preliminary data combination and analysis automatically, the platform prepares actionable irrigation recommendations in advance, eliminating the need for growers to spend time manually combining data when they need to make decisions.
3Loss of information
If traditional field scouting and satellite images are used for field mapping, then field data collection is achieved, but cost and time increase
Solution Approach 1:
The system replaces traditional mechanical field scouting methods and manual satellite image analysis with an automated digital platform. The integrated system electronically collects and processes field data, crop data, and satellite imagery automatically, substituting manual mechanical processes with automated computational methods that are faster and more efficient.
Data Source
AI summary
The present invention provides a system, method and apparatus for providing an irrigation scheduling module including a graphical user interface for providing irrigation scheduling data for a given field location. According to a preferred embodiment, the irrigation scheduling module is configured to calculate and display an irrigation recommendation for a given set of forecast data. According to a further preferred embodiment, the irrigation recommendation includes a representative shape in the form of a circle which changes from a full circle to a crescent-shaped percentage of the full circle based on the field moisture status.