Dual-Axis Tine Actuation for Precision Weed Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current robotic systems for weed management in agriculture face challenges such as inaccurate discrimination between weeds and crops, poor control precision, inability to navigate complex environments, and high costs, leading to inefficient weed removal and potential damage to crops.
Innovation Solution
An automated apparatus with a tine formation supported by a dual-axis actuation mechanism, equipped with a sensing system and classification system, allows for precise targeting and removal of weeds by moving vertically and horizontally, accommodating obstacles and varying soil conditions, and can be integrated with unmanned ground vehicles for efficient operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If robotic systems are used for automated weeding, then labor cost is reduced, but discrimination accuracy between weeds and crops deteriorates
Solution Approach 1:
The system segments the weeding task into distinct phases: detection (sensing system), classification (classification system), and execution (actuation mechanism). This segmentation allows each component to be optimized independently, with the sensing system capturing detailed visual data and the classification system applying sophisticated algorithms to accurately distinguish weeds from crops, thereby maintaining high discrimination accuracy despite full automation.
Solution Approach 2:
The classification system acts as an intermediary between the sensing system and the actuation mechanism. It processes the raw visual data from the sensing system, applies classification algorithms to identify weeds versus crops, and then guides the actuation mechanism accordingly. This intermediary layer ensures accurate discrimination before any physical action is taken, resolving the contradiction between automation and precision.
2Loss of substance
If mechanical weeding devices are used, then herbicide costs are reduced, but crop damage increases
Solution Approach 1:
The system applies local quality by directing the actuation mechanism to perform weeding actions only at specific locations where weeds are detected, rather than applying mechanical force across the entire field. The sensing system continuously monitors the environment, and the classification system determines which detected objects are weeds, ensuring that mechanical action is applied locally and selectively only to target weeds, thereby avoiding damage to crops.
Solution Approach 2:
The system incorporates feedback through the sensing system that continuously monitors the environment during operation. The classification system processes this real-time data to identify weeds, and the actuation mechanism responds by removing only the identified weeds. This closed-loop feedback control ensures precise targeting and prevents accidental contact with or damage to crops, addressing the harmful effects of mechanical weeding.
3Extent of automation
If traditional robotic manipulators are used, then automation is achieved, but control precision deteriorates
Solution Approach 1:
The system employs dynamics by using an actuation mechanism that can dynamically adjust its position and movement in real-time based on feedback from the sensing system. Rather than relying on pre-programmed fixed trajectories, the mechanism adapts its motion to precisely reach detected weeds while avoiding crops, maintaining high control precision throughout the automated operation.
Solution Approach 2:
The system replaces traditional mechanical control systems with an integrated sensing and classification subsystem. Instead of relying solely on mechanical precision, the system uses optical sensing to detect weed locations, classification algorithms to identify targets, and electronic control to guide the actuation mechanism. This substitution of mechanical systems with sensor-based control enhances precision while maintaining automation.
4Adaptability or versatility
If robotic systems operate in unstructured environments, then versatility is improved, but reliability deteriorates
Solution Approach 1:
The system performs preliminary action by having the sensing system continuously scan and detect the environment before the actuation mechanism executes weeding actions. The classification system processes this advance information to identify potential targets and assess environmental conditions, allowing the system to adapt to unstructured environments while maintaining reliability through proactive planning and real-time monitoring.
Solution Approach 2:
The system incorporates self-service through the sensing system that continuously monitors environmental conditions and the classification system that autonomously identifies weeds versus crops. This self-monitoring and self-adjusting capability allows the system to adapt to varying field conditions without external intervention, improving versatility while maintaining reliability through autonomous decision-making based on real-time data.
Data Source
AI summary
An apparatus for controlling weeds, which includes a tine formation adapted to remove or disrupt targeted weeds, and a tine support assembly adapted to support the tine for movement about a first control axis in a generally vertical direction between an engaged position wherein the tine formation in use contacts a ground surface for removal or disruption of targeted weeds and a disengaged position wherein the tine formation is substantially retracted from the ground surface. The tine support assembly is further adapted to support the tine for movement about a second control axis in a generally horizontal direction. The tine support assembly further includes a first actuation mechanism adapted to effect movement of the tine about the first control axis, and a second actuation mechanism adapted to effect movement of the tine about the second control axis. The apparatus also includes a sensing system for sensing aspects of an environment and generating data indicative thereof, and a classification system for identifying target weeds within the environment on the basis of the data from the sensing system. A control system is adapted to activate the first and second actuation mechanisms of the tine support assembly in accordance with a predetermined control logic thereby sequentially to position the tine for disruptive contact with the targeted weeds.