IoT Photosynthesis Control for Crop Light and Temperature Limits
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Solution Overview
Problem
The challenge of increasing crop yields by 70% by 2050 amidst shrinking farmland and declining farming profits necessitates optimizing photosynthetic processes using IoT to address real-time and location-specific conditions affecting crop growth.
Innovation Solution
A method, computer program product, and system that utilize IoT to obtain and analyze crop and location data, determine photosynthetic rate potential and limiting conditions, and calculate ameliorative actions to enhance photosynthesis by regulating sunlight irradiance through adjustable panels and mirrors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional farming methods are used, then farming operations are simple and easy to manage, but crop yields are saturated and cannot increase to meet growing population demands
Solution Approach 1:
The system enables self-service through automated IoT monitoring and control mechanisms that independently track crop conditions, analyze data, and adjust environmental parameters without continuous human intervention, thereby increasing productivity while managing complexity through automation
Solution Approach 2:
The system dynamically changes multiple parameters including temperature, humidity, light intensity, and nutrient levels based on real-time crop needs and environmental conditions, optimizing photosynthesis and crop growth to achieve higher yields without simply expanding land area
2Productivity
If farmland area is expanded to increase production, then crop yield potential increases, but available farmland is shrinking and land acquisition is no longer viable
Solution Approach 1:
The system intensifies production on existing land by dynamically optimizing multiple growth parameters (temperature, humidity, light, nutrients) to maximize photosynthetic efficiency and crop yield per unit area, effectively increasing productivity without requiring additional land area
Solution Approach 2:
The system ensures continuous optimization of crop growth conditions through 24/7 IoT monitoring and automated adjustments, maintaining peak photosynthetic activity throughout the growth cycle rather than relying on seasonal or intermittent interventions, thereby maximizing yield from available land
3Productivity
If sunlight irradiance is increased to enhance photosynthesis, then photosynthetic rate potential increases, but photoinhibition and moisture deficits can occur
Solution Approach 1:
The system uses real-time feedback from IoT sensors monitoring light intensity, crop health, and environmental conditions to dynamically adjust sunlight irradiance levels, increasing light when beneficial for photosynthesis and reducing it when photoinhibition risk arises, thereby optimizing productivity while preventing harm
Solution Approach 2:
The system dynamically adjusts sunlight exposure and other environmental parameters based on real-time crop needs and conditions rather than using static fixed settings, allowing optimal photosynthetic rates to be achieved while automatically preventing photoinhibition and moisture deficits through adaptive control
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
Enhances photosynthetic yields by optimizing light and temperature conditions, thereby increasing crop productivity and profit margins while mitigating losses due to photoinhibition and moisture deficits.
Implementation Method 1
enhancing photosynthesis using IoT
Implementation Method 2
optimizing light and temperature conditions
Data Source
AI summary
The present inventive provides for a method of enhancing photosynthesis using IoT. The method includes obtaining data related to at least one crop and at least one location. Respective crop features and location features are extracted from the obtained data. At least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location is determined based on the extracted crop features and location features. Ameliorative actions are calculated based on the determined at least one of photosynthetic rate potential, photosynthetic rate limiting conditions, and potential loss for the at least one crop at the location.