Autonomous Plant Imaging Control for Vertical Farm Growth Optimization
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Solution Overview
Problem
The vertical farming industry faces high labor costs and contamination risks due to the need for extensive manual labor, and existing automation solutions do not adequately address the challenges of monitoring plant growth, especially in urban environments where space and climate conditions are limited.
Innovation Solution
A system and method for autonomous monitoring and optimization of plant growth using image analysis and actuation devices, such as lighting and irrigation systems, which dynamically adjust conditions based on captured images and environmental data to improve plant visibility and health, including the use of RGB and multi-spectral sensors, and robotic arms to aid in image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual labor is used for plant monitoring and care, then plant growth can be observed and tended, but labor costs increase and contamination risk increases
Solution Approach 1:
The system enables autonomous monitoring where the agricultural area self-monitors plant growth through image sensors and environmental sensors, automatically capturing images and environmental data without human intervention. The processor autonomously analyzes this data and triggers actuation devices based on detected plant conditions, eliminating the need for manual labor while maintaining reliable monitoring.
Solution Approach 2:
Manual mechanical inspection and care operations are replaced with an automated system using image sensors to capture visual data, processors to analyze plant health, and actuation devices to provide care. This substitution eliminates human labor costs and contamination risks while maintaining or improving monitoring reliability through consistent automated observation.
2Measurement precision
If image sensors continuously capture plant images for monitoring, then plant growth can be tracked, but energy consumption increases
Solution Approach 1:
Instead of continuous imaging, the system uses periodic action by triggering image sensors only at specific intervals or when changes are detected. The processor analyzes environmental data and image data periodically, activating sensors only when needed for monitoring, thus reducing energy consumption while maintaining measurement precision for tracking plant growth.
Solution Approach 2:
The system employs feedback mechanisms where environmental sensors continuously monitor conditions and trigger image capture only when environmental changes warrant plant observation. The processor analyzes both environmental and image data, activating sensors based on detected changes rather than continuous operation, optimizing energy use while preserving monitoring precision through event-driven imaging.
3Reliability
If actuation devices dynamically adjust environmental conditions, then plant health improves, but device complexity increases
Solution Approach 1:
The system achieves plant health optimization through multi-functionality by using a single integrated processor that performs diverse tasks: analyzing image data, evaluating environmental data, detecting plant features, and controlling multiple actuation devices. This universal controller reduces overall system complexity compared to having separate dedicated controllers for each function, while maintaining reliable plant health optimization through coordinated environmental adjustments.
Data Source
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AI summary
A system for autonomous monitoring and/or optimization of plant (140) growth is provided. The system may include actuation devices configured to interact with an agricultural area (120), image sensors (130) configured to capture images (170) of a plant (140) in the agricultural area (120), and a processor (150) in communication with the image sensors (130) and the actuation devices. The processor (150) may be configured to store, via a memory (160), a first image (170) of the agricultural area (120) captured prior to a first actuation of the actuation devices; and trigger, synchronously with the first actuation, the image sensors (130) to capture a second image (180) of the agricultural area (120). The processor (150) may be further configured to detect features of the plant (140) in the first and second images (170) of the agricultural area (120); evaluate the detected features of the plant (140) for visual plant qualities (210); and dynamically set one or more parameters (190) of the actuation devices based on the visual plant qualities (210).