Robotic Greenhouse Sensor Modules for Adaptive Crop Monitoring
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Solution Overview
Problem
Greenhouses face challenges in monitoring and maintaining stable environmental conditions due to variations in temperature, light, and humidity, which can affect plant growth and health, as existing monitoring systems are inefficient in data collection and real-time adaptation.
Innovation Solution
A sensor module with multiple sensors for environmental and plant growth data collection, analysis, and wireless transmission, powered by internal batteries or capacitors, and recharged by a robotic system, allowing for robotic placement and repositioning within the greenhouse based on collected data to identify and mitigate substandard growing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are deployed throughout the greenhouse to monitor environmental conditions, then measurement precision and data coverage are improved, but device complexity and cost increase
Solution Approach 1:
The system divides the greenhouse monitoring task into multiple independent sensor modules distributed throughout the space. Each module contains integrated sensors for temperature, humidity, light, and soil conditions, allowing precise localized measurements without requiring a single complex centralized system. This segmentation enables scalable deployment where modules can be added or removed based on specific monitoring needs.
Solution Approach 2:
Each sensor module is designed as a multi-functional unit that simultaneously measures multiple environmental parameters (temperature, humidity, light intensity, soil moisture) using integrated sensors. This universal design reduces the number of separate devices needed, simplifying the overall system while maintaining comprehensive monitoring capability across different greenhouse conditions.
2Adaptability or versatility
If sensor modules are continuously monitored and repositioned by robotic systems, then adaptability to plant needs is improved, but energy consumption increases
Solution Approach 1:
The robotic system implements periodic inspection cycles rather than continuous monitoring, visiting sensor modules at scheduled intervals to collect data and recharge batteries. This periodic operation significantly reduces energy consumption compared to continuous operation while still maintaining adaptability to plant conditions through regular updates. The system can adjust inspection frequency based on plant growth stages and environmental variability.
Solution Approach 2:
Sensor modules are equipped with rechargeable batteries that can be recharged autonomously when the robotic system visits them. The modules manage their own power consumption by entering low-power states between robotic visits and only activating sensors and communications when needed. This self-service approach minimizes energy requirements while maintaining operational capability.
3Productivity
If sensor modules are repositioned based on real-time data, then productivity and plant health are improved, but device complexity and operational difficulty increase
Solution Approach 1:
The system implements automatic feedback loops where sensor data from temperature, humidity, light, and soil sensors is continuously analyzed by onboard processors. When environmental conditions deviate from optimal ranges for plant growth, the system automatically triggers robotic repositioning of sensor modules to areas needing attention. This closed-loop feedback eliminates the need for manual intervention while optimizing plant productivity based on real-time environmental data.
Solution Approach 2:
Manual monitoring and adjustment operations are replaced with autonomous robotic systems that navigate the greenhouse, interact with sensor modules, and implement repositioning decisions. The robotic system uses sensors and processors to automatically interpret environmental data and execute appropriate actions, replacing complex manual operational tasks with automated mechanical systems that simplify user interaction while improving productivity.
Data Source
AI summary
A sensor module having multiple sensors for collecting, analyzing, storing, and transmitting data related to environmental and plant growth data in an agricultural habitat, such as a greenhouse, is disclosed. One or more modules are placed at various locations in a greenhouse, to collect data including any of temperature, temperature gradient, humidity, light levels, light frequencies, soil moisture, soil composition, plant health, plant growth, plant quality e.g. maturity and/or fruit quantity and/or ripeness. The sensor module is adapted for robotic placement within the greenhouse, although the module ay initially be placed by hand. The module is powered by internal batteries or a large capacitor or capacitor array and is recharged by a greenhouse robot that may comprise any of a robot arm configured for movement within a greenhouse via a conveyer or track system, a wheeled robot, or a drone.