Pollination Illumination Patterns for Controlled Environment Agriculture
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Solution Overview
Problem
There is a challenge in developing techniques to optimize and assist the pollination process in controlled environment agriculture, particularly in horticultural structures where options for pollinating plants or crops are limited.
Innovation Solution
An automated system and method for determining pollination illumination patterns within a horticultural structure, which involves defining control and test zones with specific light sources, monitoring pollination-related properties, and adjusting lighting scenarios to attract, retain, and stimulate pollinators while repelling unwanted insects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional pollination methods are used in controlled environment agriculture, then the pollination process can be maintained with simple systems, but the pollination efficiency and crop yield are limited
Solution Approach 1:
The patent applies parameter changes by systematically varying lighting parameters (spectral composition, intensity, duration, and timing) to optimize pollination efficiency. Different light wavelengths and intensities are tested to determine their impact on pollinator behavior and crop pollination rates, thereby improving productivity through controlled parameter modification without requiring fundamentally complex system changes.
Solution Approach 2:
The patent implements feedback mechanisms by monitoring pollination-related properties and using this information to adjust lighting scenarios. The system evaluates the impact of test lighting scenarios on pollination outcomes and uses this feedback to refine and optimize subsequent lighting patterns, enabling continuous improvement of pollination efficiency through data-driven adjustments.
2Productivity
If multiple lighting scenarios are tested to optimize pollination, then pollination efficiency can be improved, but the experimental complexity and time required increase
Solution Approach 1:
The patent applies segmentation by dividing the horticultural structure into distinct control zones and test zones. This allows parallel testing of multiple lighting scenarios in different test zones while maintaining a baseline control zone, thereby reducing the time required to evaluate multiple hypotheses simultaneously rather than sequentially, thus improving pollination optimization speed.
Solution Approach 2:
The patent uses partial action by implementing a phased experimental approach where lighting scenarios are tested incrementally. Rather than testing all possible scenarios simultaneously, the system evaluates a subset of promising scenarios first, then progressively refines the optimization based on initial results, reducing overall experimental time while still achieving effective pollination solutions.
3Productivity
If controlled lighting scenarios are applied to specific zones, then pollination can be optimized in target areas, but the system complexity and control requirements increase
Solution Approach 1:
The patent applies local quality by implementing zone-specific lighting scenarios tailored to the particular needs and conditions of different areas within the horticultural structure. Each test zone receives customized lighting parameters optimized for its specific crop type, pollinator population, and environmental conditions, allowing localized pollination optimization without requiring complete system redesign, thus managing complexity through targeted local improvements.
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
The system effectively determines and implements pollination illumination patterns that enhance pollination efficiency, improving the distribution and activity of pollinators within the horticultural structure, thereby optimizing crop pollination and growth.
Implementation Method 1
a first horticultural light source configured to illuminate a control plant or crop according to a control lighting scenario
Implementation Method 2
a second horticultural light source configured to illuminate a test plant or crop according to a test lighting scenario
Data Source
AI summary
There is provided a method for determining pollination illumination patterns within a horticultural structure, including defining a control zone associated with a first light source, the first light source being configured to illuminate a control plant or crop according to a control lighting scenario; defining a test zone associated with a second light source, the second light source being configured to illuminate a test plant or crop according to a test lighting scenario; illuminating the control plant or crop with the first light source according to the control lighting scenario; illuminating the test plant or crop with the second light source according to the test lighting scenario in the test zone; and following a release of pollinators, determining whether the test lighting scenario impacts a pollination-related property of the test plant or crop with respect to a pollination-related property of the control plant or crop.


