Hybrid Electro-Mechanical Weed Control in Collaborative Robot Networks
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Solution Overview
Problem
Current farming technologies face challenges in efficiently and sustainably managing farmland due to increased food demand, limited scalability, and reliance on herbicides, with existing robots being expensive, complex, and ineffective in close proximity to crops, and drones having limited range and infrastructure dependency.
Innovation Solution
An autonomous network of drones and ground robots that use mechanical, electrical, or both means for weed control, with drones inspecting fields and ground robots taking action based on AI analysis, and solar-powered systems for decentralized operation, enabling efficient weed management without herbicides.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional herbicide-based weed control is used, then weed management effectiveness is improved, but environmental sustainability and food safety deteriorate due to chemical pollution and herbicide resistance
Solution Approach 1:
The patent replaces chemical herbicide systems with electrical systems that deliver controlled electric currents through electrodes to selectively eliminate weeds. The electrical system uses sensors to detect weeds and delivers precise electrical pulses that destroy weed tissue without affecting surrounding crops, thereby maintaining weed control effectiveness while eliminating herbicide pollution and resistance issues.
Solution Approach 2:
The patent introduces an intermediary electrical field between the weed control system and the target weeds. Instead of direct chemical contact, the system uses electrical current as a mediator to transfer energy to the weeds, causing thermal and electrochemical damage that eliminates the weeds without introducing harmful chemicals into the environment.
2Manufacturing precision
If autonomous ground robots with multiple sensors and actuators are deployed, then weed control precision is improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The patent divides the autonomous robot into modular functional segments: a sensor module for detecting weeds, a control module for processing sensor data and making decisions, and an actuator module with electrodes for delivering electrical pulses. This segmentation allows each module to be optimized independently and simplifies manufacturing and maintenance while maintaining high precision weed control.
Solution Approach 2:
The patent designs the autonomous robot with multi-functional components that can perform multiple tasks. The sensor system can detect both weeds and crop boundaries, the control system can adjust parameters for different weed types, and the electrical actuation system can deliver varying current intensities for different weed sizes and species, reducing the need for specialized components for each function.
3Manufacturing precision
If ground robots operate in close proximity to crops for precision weed control, then selectivity and crop safety are improved, but robot accessibility and operational flexibility deteriorate
Solution Approach 1:
The patent employs dynamically adjustable robot parameters including variable speed control for navigating different terrain conditions, adjustable electrode positioning mechanisms that can extend and retract based on weed distance, and real-time parameter adjustment of electrical pulse intensity based on detected weed characteristics. This dynamics allows the robot to maintain precise control near crops while adapting to varying field conditions for improved accessibility.
4Extent of automation
If solar-powered autonomous systems are deployed, then operational independence and sustainability are improved, but energy availability and operational duration worsen due to weather dependency
Solution Approach 1:
The patent incorporates energy storage systems such as batteries or capacitors that are charged during sunny periods to provide power during cloudy days, nighttime, or extended periods without sunlight. This beforehand cushioning ensures continuous autonomous operation regardless of weather conditions, maintaining operational independence while compensating for solar energy variability.
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 solution allows for early detection and mitigation of weeds, reducing herbicide use, improving safety, and increasing efficiency, with drones and ground robots working together to provide precise and continuous weed control, reducing the need for infrastructure and lowering operational costs.
Implementation Method 1
activating the high voltage booster unit to generate electric current through the first electrode portion, the identified plant organism, and the second electrode portion
Implementation Method 2
a solar panel unit electrically coupled to the energy storage unit, the solar panel unit is coupled to the ground vehicle unit, the solar panel unit is configured to electrically recharge the energy storage unit
Data Source
AI summary
An autonomous ground vehicle for agricultural plant and soil management operations. According to some embodiments, autonomous ground vehicle includes: a camera unit configured to generate images of agricultural ground soil and plant organisms, a first mechanical arm having an end effector comprising a hoe portion and an electrode portion, a second mechanical arm having an end effector comprising an electrode portion, a high voltage booster electrically connected to the electrode portions, an electronic memory storage medium comprising computer-executable instructions; one or more processors in electronic communication with the electronic memory storage medium, configured to execute the computer-executable instructions stored in an electronic memory storage medium for implementing a plant species control management operation comprising electrical control and mechanical control options.