Imager Calibration for Field Irrigation Systems
Solution Overview
Problem
Modern irrigation systems face limitations in image data collection due to complex field conditions, leading to poor image resolution and inaccurate data extraction, as existing camera technologies are expensive, complex, and unable to dynamically capture images across multiple fields of view.
Innovation Solution
A system comprising imagers, sensors, and controllers for calibrating and analyzing image data from cameras attached to mobile irrigation systems, using smart algorithms to enhance image processing and integration of data from multiple views, with high-resolution cameras and adjustable fields of view to capture images at different ranges and depths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If camera positioning is made static and dependent on irrigation system operation, then device complexity is reduced, but image data collection capability deteriorates due to inability to dynamically capture multiple fields of view
Solution Approach 1:
The patent applies the dynamics principle by making the camera field of view adjustable and reconfigurable during operation. The system allows dynamic modification of camera parameters including field of view angle, focal length, and positioning to adapt to different imaging requirements across multiple fields, transforming a static camera system into a dynamic one that can respond to varying agricultural monitoring needs
2Adaptability or versatility
If individual cameras automatically adjust fields of view to capture images at different ranges, then image data collection capability is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent applies segmentation by dividing the imaging function across multiple cameras with different fixed field of view characteristics. Instead of requiring each camera to independently adjust its field of view, the system segments the monitoring task among multiple cameras designed for specific ranges and depths, simplifying individual camera complexity while maintaining overall system versatility
Solution Approach 2:
The patent implements multi-functionality by designing a camera system where multiple cameras with different fixed field of views work together to fulfill various imaging requirements. The system enables a single integrated camera assembly to perform multiple functions (capturing different ranges and depths) without requiring each individual camera to be complex and adjustable
3Device complexity
If existing camera technologies are used for monitoring, then device cost and complexity are reduced, but image resolution and data extraction accuracy deteriorate due to poor image quality
Solution Approach 1:
The patent applies parameter changes by systematically adjusting camera parameters including field of view angle, focal length, and positioning to optimize image quality. The system modifies these parameters to ensure high-resolution images are captured under various field conditions, directly improving measurement precision while managing system complexity through controlled parameter adjustment
Data Source
AI summary
A system, method and apparatus for imager calibration and image collection within a field irrigation system. According to a first preferred embodiment, the system of the present invention includes imagers, sensors and controllers for calibrating imagers for use within a field irrigation system and for executing an algorithm for analyzing and storing target crop disease image indicators, insect/pest image indicators and crop health/growth image indicators. According to further preferred embodiments, the system of the present invention preferably may analyze these range of factors to determine one or more test chart parameters for use with testing and calibrating one or more imagers.