Modular Gardening System with Sensor-Based Growth Optimization
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Solution Overview
Problem
Existing vertical farming systems are limited in accommodating plants of different sizes, lack monitoring capabilities, and do not optimize growing conditions, leading to suboptimal plant growth and reduced bioavailability of nutrients in harvested plants.
Innovation Solution
A modular gardening system with integrated sensors and a controller that monitors environmental conditions, adjusts lighting and water supply, and uses machine learning to optimize plant growth, ensuring optimal thresholds for healthy plant development and increased nutrient bioavailability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If existing vertical farming systems are used, then space utilization is improved, but the systems cannot accommodate plants of different sizes and lack monitoring capabilities
Solution Approach 1:
The vertical farming system is divided into multiple adjustable shelving units that can be independently positioned at different heights. Each shelf can be customized to accommodate plants of various sizes, allowing the system to adapt to different plant types while maintaining compact vertical space utilization.
Solution Approach 2:
The shelving units incorporate adjustable and movable components that allow dynamic reconfiguration of the growing spaces. This enables the system to adapt its structure to accommodate different plant sizes and growth stages, transforming a static structure into a flexible, adaptable framework.
2Area of stationary object
If existing vertical farming systems are used, then space utilization is improved, but the systems do not monitor plant growth or optimize growing conditions
Solution Approach 1:
Sensors are integrated throughout the vertical farming system to continuously monitor plant growth parameters, environmental conditions, and resource usage. This feedback is transmitted to a control system that analyzes the data and automatically adjusts lighting, watering, and nutrient delivery to optimize plant growth, closing the loop between monitoring and action.
Solution Approach 2:
The system incorporates automated controls that enable the vertical farm to self-regulate growing conditions based on sensor data. The intelligent control system automatically optimizes environmental parameters and resource distribution without requiring constant manual intervention, allowing the system to serve itself while maintaining optimal growth conditions.
3Productivity
If plants are grown using existing systems, then production is achieved, but the plants do not provide adequate nutrients due to maltreatment or compromised environmental conditions
Solution Approach 1:
Sensors continuously monitor environmental conditions including temperature, humidity, light intensity, and nutrient levels. This real-time feedback ensures that growing conditions remain within optimal ranges, preventing maltreatment and compromised conditions that would reduce nutrient quality. The system automatically adjusts parameters to maintain reliable, high-quality plant production.
Solution Approach 2:
The system dynamically adjusts environmental parameters such as light spectrum, temperature, humidity, and nutrient composition based on plant growth stage and type. By optimizing these parameters throughout the growth cycle, the system ensures that plants develop maximum nutrient content and bioavailability, transforming generic growing conditions into customized, nutrient-optimized environments.
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 allows for diverse plant growth, optimizes growing conditions, and enhances the bioavailability of nutrients in plants, resulting in healthier and more nutritious produce.
Implementation Method 1
a lighting subsystem mounted to the frame for illuminating the housing
Implementation Method 2
one or more sensors for capturing data corresponding to conditions of the housing
Implementation Method 3
a water distribution tray fluidly communicable with the water reservoir, the water distribution tray defining one or more channels for receiving water from the water reservoir
Data Source
AI summary
A system for growing plants and monitoring the growth of plants, comprising a gardening system and a server. The gardening system comprises a frame that defines a housing for receiving a tray of plants. The gardening system also has a lighting subsystem and watering subsystem to provide light and water to the plants. Sensors and cameras of the gardening system may capture data corresponding to the conditions of the gardening system and health of the plant. Based on the captured data, the server may use machine learning to determine optimal plant growing thresholds, and may send a control command to a controller of the gardening system to change one or more conditions of the gardening system. The plants grown by the system may be nutritious, and the bioavailability of the nutrients of the plants may be increased.