Modular Carrier Platform for AI-Guided Selective Weeding
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Solution Overview
Problem
Current agricultural systems for weed control in organic farming are labor-intensive and lack flexibility, with existing automated solutions being inflexible and inefficient in distinguishing between crops and weeds, especially in early growth stages where both are small and close together.
Innovation Solution
A modular carrier system with a mobile device equipped with sensors and tools, allowing for real-time control and analysis, which can be detachably connected to different mobile devices, including unmanned aircraft, land vehicles, or watercraft, enabling flexible application and precise weed detection and removal using visual detection units and artificial intelligence for classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual weeding methods are used in organic farming, then selective weed control near crops is achieved, but labor intensity and time consumption increase significantly
Solution Approach 1:
The patent replaces manual mechanical weeding with an automated optical-mechanical system. A sensor detects crops and weeds optically, a computer processes the data to identify weeds, and an actuator mechanically removes them. This substitution maintains selective precision while eliminating labor intensity, as the system automatically performs detection, classification, and removal functions that previously required manual inspection and action.
Solution Approach 2:
The system enables self-service by allowing the weeding device to autonomously perform the complete weeding process without human intervention. The sensor continuously monitors the field, the computer automatically classifies detected plants as crops or weeds based on learned patterns, and the actuator independently removes identified weeds. This self-service capability transforms manual weeding into an autonomous operation that maintains precision while dramatically improving productivity.
2Productivity
If automated agricultural robots are used, then productivity increases, but flexibility and adaptability to diverse agricultural needs decrease
Solution Approach 1:
The patent implements universality by designing a modular system where the sensor, computer, and actuator can be adapted to perform multiple agricultural functions beyond weeding. The sensor can detect various plant types, the computer can be trained for different classification tasks, and the actuator can be configured for different removal methods. This modular architecture allows the same base system to serve diverse agricultural needs, maintaining productivity while enhancing adaptability.
Solution Approach 2:
The system incorporates dynamics through its ability to adapt and change its behavior based on real-time conditions. The computer learns from detected plant patterns and improves its classification accuracy over time. The actuator can adjust its removal method based on the specific weed type and environmental conditions. This dynamic adaptability allows the automated system to maintain high productivity across varying agricultural scenarios while being flexible enough to handle diverse crop types and weed species.
3Productivity
If continuous actuator operation is used for weed destruction, then productivity increases, but crop damage risk increases when crops and weeds are close together
Solution Approach 1:
The patent implements feedback by continuously monitoring the field with a sensor and using the detected information to control the actuator's operation. The sensor provides real-time data about crop and weed positions, the computer processes this data to identify weeds while avoiding crops, and the actuator adjusts its removal actions based on this feedback. This closed-loop control allows the system to maintain high productivity through continuous operation while preventing crop damage by responding to real-time spatial information about crop locations.
Solution Approach 2:
The system applies local quality by directing the actuator's destructive action only to specific locations where weeds are detected, while leaving crops untouched. The computer analyzes the spatial distribution of detected plants and applies different treatment qualities: destructive action to weeds and protective inaction to crops. This localized differentiation allows continuous operation at high speed while maintaining selectivity, as each location receives the appropriate quality of action based on its specific identification as crop or weed.
Data Source
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AI summary
The invention relates to a carrier system (10) comprising a carrier (12) and a mobile device (14) for tilling the soil and/or for manipulating flora and fauna, the carrier (12) having: a drive (16) for moving the carrier system (10); a control system (12b); an energy source (24), which co-operates with the drive (16) and provides the voltage required for operation; a receptacle (12a) for receiving and connecting to the mobile device (14); a communication unit (30); a first communication interface (36a) that co-operates with the communication unit (30) in order to exchange data with the mobile device (14) which has a dedicated interface (36b); and a second communication interface (32) that co-operates with the communication unit (30) and that at least receives control data and forwards said data to the control system (12b) for the pre-defined movement of the carrier system (10).