Dynamic Light Spectra Cycling for Accelerated Plant Photosynthesis
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Solution Overview
Problem
Controlled environment agriculture faces challenges such as crop failure risk, high disease outbreaks, and inefficient growth acceleration, despite improved growing speed over traditional methods, due to the difficulty in providing optimal nutrient balance and simulating natural diurnal cycles for plants.
Innovation Solution
A system and method that involve identifying plant species and applying tailored light spectra shift recipes, including varying spectral categories and intensities, to mimic natural photonic cycles, combined with CO2 adjustments, to accelerate photosynthetic rates and growth, using sensors and artificial lighting integrated with natural light.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional controlled environment agriculture methods are used, then growing speed is improved compared to traditional farms, but yield acceleration efficiency remains insufficient due to inability to dynamically adjust light spectra and nutrients
Solution Approach 1:
The patent implements dynamic light spectra adjustment by cycling through different spectral categories (blue peak, red peak, green peak, full spectrum) at varying intensities throughout the day. The system transitions from static lighting to dynamic spectral manipulation, adjusting light properties in real-time to match plant physiological needs at different times, thereby accelerating growth without requiring overly complex equipment
Solution Approach 2:
The system changes multiple light parameters simultaneously including spectral composition ( wavelength distribution), intensity (brightness levels), and temporal patterns (cycling schedules). By modifying these parameters to match natural diurnal cycles and plant-specific requirements, the system achieves superior yield acceleration while maintaining manageable complexity through standardized control protocols
2Productivity
If light spectra are adjusted to accelerate photosynthesis, then growth speed is improved, but energy consumption increases
Solution Approach 1:
The patent employs periodic cycling through different spectral categories rather than continuous full-spectrum or high-intensity lighting. The system alternates between peak intensities at specific wavelengths and lower intensity periods, mimicking natural light cycles. This periodic approach maintains high photosynthetic rates during critical periods while reducing overall energy consumption compared to constant maximum illumination
Solution Approach 2:
The system applies different spectral qualities at different times and potentially to different plant zones, rather than using uniform high-intensity light throughout. By matching spectral composition and intensity to specific plant needs at specific times (e.g., blue peak for vegetative growth, red peak for flowering), the system optimizes photosynthetic efficiency per unit of energy consumed
3Reliability
If CEA provides precise control over light and temperature, then growing conditions are optimized, but risk of crop failure and disease outbreaks remains high
Solution Approach 1:
The patent incorporates monitoring of plant responses to light treatments and uses this information to adjust subsequent lighting protocols. By observing plant health indicators and growth responses, the system can detect early signs of stress or disease susceptibility and modify environmental parameters accordingly, thereby reducing crop failure risk through adaptive management rather than static control
Solution Approach 2:
The system dynamically adjusts environmental parameters including light spectra, intensity, and duration based on plant stage, species requirements, and observed plant health. This dynamic adaptability allows the system to respond to changing plant needs and potential stressors, improving reliability by preventing conditions that lead to crop failure or disease outbreaks
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
This approach enables faster attainment of maximum photosynthetic rates and accelerated plant growth by simulating natural light cycles, adaptable to specific plant species and genetics, while monitoring plant health to dynamically adjust light and CO2 levels, enhancing growth efficiency and scalability.
Implementation Method 1
The lights may then ramp up through spectrum and intensity until they reach the spectrum of a full summer day including UV light, which may allow the plants to reach their max photosynthetic rate
Implementation Method 2
Biological perceived photonic time (dark-light-dark cycle) of more than one day may be compressed into a single 24-hour period or expanded using spectral manipulation. Far red/red light (FR/R) at typical outdoor daily light integral begins a cycle and activates photosynthesis
Implementation Method 3
The increase in CO2 may mimic the increasing light and may reach maximum concentration when the light is at maximum intensity and spectrum
Data Source
AI summary
A method for growing plants may start by identifying at least the species of one or more plants being grown and selecting a spectra shift recipe from a menu of spectra shift recipes for the one or more plants based on the species identification of the one or more plants. Next, light may be emitted on the one or more plants. The light being emitted may be selected according to the selected spectra shift recipe. The spectra shift recipes may include, for example, a plurality of durations and at least a spectral category for each time, and the spectral category may cycle from no light to blue peak and back at least one time.