Image-Based Irrigation Layout for Fair Center Pivot Trials

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Solution Overview

Problem

Growers using center pivot irrigation systems face challenges in efficiently comparing different irrigation management systems due to limitations in treatment placement, leading to increased acreage and costs for trials, which complicates the interpretation of results and increases risks for both growers and vendors.

Innovation Solution

A computer-implemented method that uses digital images to optimize the arrangement of irrigation treatments within a single field, ensuring matching crop growing conditions and reducing the need for multiple fields, allowing for fair comparison and minimizing costs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional treatment placement approaches are used with center pivot irrigation equipment, then fair comparison of irrigation treatments can be achieved, but multiple fields are required increasing acreage and costs

Engineering Contradiction:
Improvecomparison accuracyVSAvoidacreage required
Core Design Contradiction:
Measurement precisionVSArea of stationary object

Solution Approach 1:

The field is divided into multiple sectors radiating from the center pivot point, allowing different irrigation treatments to be applied to different sectors within the same field. This segmentation enables fair comparison of treatments while using only a portion of the field area, reducing the total acreage required for trials.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different sectors of the field are assigned different irrigation treatments based on their specific location and growing conditions. This allows each sector to receive optimized treatment tailored to its local conditions while maintaining the ability to compare treatments fairly across sectors within the same field.

Inventive Principle:
Principle #3Local quality

2Adaptability or versatility

If multiple fields are used for irrigation management trials, then treatment comparison is possible, but interpretation of results becomes complicated and risks increase

Engineering Contradiction:
Improvetreatment comparison capabilityVSAvoidtrial complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

Multiple irrigation treatments are merged into a single field by assigning different treatments to different sectors. This consolidation maintains the ability to compare treatments while simplifying trial management, reducing complexity, and eliminating the need to manage multiple separate fields with potentially different growing conditions.

Inventive Principle:
Principle #5Merging (Combining)

3Ease of manufacture

If conventional trial arrangements are implemented with center pivot equipment, then standard agricultural practice comparison is possible, but equipment limitations prevent optimal treatment placement

Engineering Contradiction:
Improvestandard practice complianceVSAvoidtreatment placement flexibility
Core Design Contradiction:
Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The treatment placement system is made dynamic by allowing the center pivot equipment to apply different treatments to different sectors as it rotates. This dynamic approach maintains compliance with standard agricultural practices while providing the flexibility to optimize treatment placement according to field-specific conditions and equipment capabilities.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS12133487B2Image-based irrigation recommendations
Publication Date: 2024.11.05 MONSANTO TECHNOLOGY LLC
  • US12133487B2 patent drawing
  • US12133487B2 patent drawing
  • US12133487B2 patent drawing

AI summary

Techniques for providing improvements in agricultural science by optimizing irrigation treatment placements for testing are provided, including analyzing a plurality of digital images of a field to determine vegetation density changes in a sector of the field. The techniques proceed by comparing a distribution of pixel characteristics in the digital images for each field sector to determine sectors in which minimal differences are present. Instructions for irrigation placements and testing may then be displayed or modified based on the results of the sector determinations.