Plant Biosensor for Individualized Greenhouse Control
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Solution Overview
Problem
Current environment control methods for greenhouses fail to provide an optimal environment for individual plants as they do not effectively measure and adjust for specific environmental and biological parameters.
Innovation Solution
A plant biosensor system that includes solar radiation, sap flow, and absorbed nutrient sensors to measure environmental and biological information of plants, allowing for personalized environmental adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If environmental sensors are used to measure general environmental information, then environmental monitoring is achieved, but individual plant-specific biological information cannot be measured
Solution Approach 1:
The biosensor system is divided into multiple independent sensor modules, each measuring specific biological parameters (sap flow, nutrient absorption, photosynthesis, respiration). This segmentation allows the system to measure individual plant-specific information while maintaining the ability to monitor environmental conditions, resolving the contradiction between measurement precision for individuals and adaptability for general environmental monitoring.
Solution Approach 2:
The biosensor is designed with multi-functionality to measure both environmental information (temperature, humidity, light intensity) and biological information (sap flow, nutrient absorption, photosynthesis rate, respiration rate) simultaneously. This universal design enables the single device to adapt to various measurement needs while providing precise individual plant data.
2Productivity
If general environmental control is implemented, then greenhouse environment is managed, but optimal environment for individual plants cannot be provided
Solution Approach 1:
The system incorporates feedback mechanisms where biological information measured by the biosensor (sap flow rate, nutrient absorption, photosynthesis rate) is used to adjust environmental control parameters. This feedback loop enables the system to provide optimized environmental conditions for individual plants while maintaining high productivity through data-driven decision making.
Solution Approach 2:
The environmental control system transitions from static general control to dynamic individualized control based on real-time biological measurements. The system continuously adjusts environmental parameters according to the measured biological state of each plant, enabling optimal environment provision while maintaining productivity through adaptive management.
3Adaptability or versatility
If multiple sensors are integrated into the biosensor, then comprehensive biological information can be measured, but device complexity increases
Solution Approach 1:
Multiple sensor functions (sap flow measurement, nutrient absorption measurement, photosynthesis measurement, respiration measurement) are merged into a single integrated biosensor device. This combining approach enables comprehensive biological information measurement while managing device complexity through unified design and coordinated operation of the sensor modules.
Solution Approach 2:
The biosensor employs a universal multi-functional design where a single device performs multiple measurement functions. The integrated structure allows the device to adapt to various measurement requirements (environmental and biological parameters) while controlling overall complexity through shared components and coordinated data processing.
Data Source
AI summary
A plant biosensor includes a solar radiation sensor that measures a solar radiation amount with which the plant is irradiated, a sap flow sensor that measures a flow rate of sap flowing in a body of the plant, and an absorbed nutrient sensor that measures a nutritional state of the plant.