Autonomous Plant Growing System with Stage-Based LED Control
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Solution Overview
Problem
Current methods for growing plants are labor-intensive, require expertise, and are limited by space, season, and time, leading to inefficiencies and challenges in providing optimal lighting and nutrient conditions at different stages of plant life.
Innovation Solution
A system incorporating a camera, light sources, and a controller that uses image processing to classify plant stages and adjust lighting and nutrient delivery autonomously, utilizing blue and red LEDs to simulate natural growth conditions and automate hydroponic nutrient delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual plant caretaking is used, then plants receive personalized attention, but it is labor-intensive and prone to failure
Solution Approach 1:
The system enables autonomous plant monitoring and care through automated image capture, processing, and response mechanisms. The camera continuously monitors plant stages, the processor analyzes images to detect growth stages, and the system automatically adjusts lighting and sends notifications, eliminating the need for manual intervention while ensuring reliable plant care
Solution Approach 2:
The system implements a closed-loop feedback mechanism where the camera captures plant images, the processor analyzes growth stages, and the system responds by adjusting environmental conditions (lighting) and notifying users. This continuous monitoring and response cycle ensures reliable plant growth management without manual labor
2Productivity
If traditional growing methods are used, then plants can grow naturally, but they are limited by space, season, and time
Solution Approach 1:
The system controls and adjusts environmental parameters (lighting duration, intensity, and spectral composition) based on detected plant growth stages. By dynamically changing these parameters, the system enables year-round growth independent of seasonal conditions and maximizes growth efficiency within limited space
Solution Approach 2:
The indoor growing system with controlled environment can operate year-round regardless of external seasonal conditions, making it adaptable to different times of year and locations. The system serves multiple functions: monitoring, analysis, environmental control, and user notification, enabling versatile plant cultivation
3Productivity
If optimal lighting conditions are provided for all plant stages, then plant growth is maximized, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts lighting conditions based on the detected plant growth stage. The processor identifies whether plants are in early or late growth stages and the controller modifies lighting parameters accordingly, providing optimal light only when and where needed, thus maximizing growth while minimizing energy consumption
Solution Approach 2:
The system applies different lighting qualities (spectral composition and intensity) to different plant growth stages. Early stage plants receive lighting optimized for initial growth, while late stage plants receive different lighting parameters, ensuring each stage receives locally optimized conditions rather than uniform high-energy lighting throughout
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 system enables efficient, autonomous plant growth with minimal user intervention, optimizing lighting and nutrient supply based on plant stage, reducing labor and space requirements, and allowing for year-round production.
Implementation Method 1
The one or more light sources can include one or more blue LEDs and one or more red LEDs
Implementation Method 2
apply more blue light than red light during an early stage of plant life... apply more red light than blue light during an late stage of plant life
Data Source
AI summary
One aspect of the invention provides a system including: a camera, one or more light sources, and a controller. The controller is programmed to: receive an image of one or more plants from the camera; apply a segmentation algorithm to produce a binary image from the image; apply a thresholding algorithm to classify the one or more plants within the binary image as being in one or several stages of plant life; and control operation of the one or more light sources based on a classified stage of plant life.