Modular Mobile Analysis Device for Real-Time Selective Weeding
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Solution Overview
Problem
Existing agricultural robots and harvesting machines are inflexible, designed to travel only one row of plants at a time, requiring serial interventions and post-inspection by humans, and lack real-time, selective weed control capabilities, especially in organic farming.
Innovation Solution
A mobile analysis and processing device comprising two separable units with a visual detection unit, tool unit, and communication interface, allowing real-time data processing and selective manipulation of flora and fauna, connectable to various carriers for flexible operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing agricultural robots are designed to travel only one row of plants at a time, then they can perform detailed inspections and interventions, but they lack flexibility and require serial operations with long setup times
Solution Approach 1:
The device is divided into two separable units (first unit with visual detection and control, second unit with processing tool) that can operate independently or together. This segmentation enables the system to move between rows while maintaining operational capability, transforming serial row-by-row processing into parallel multi-row operation and eliminating the need for complete setup changes between rows.
Solution Approach 2:
The device incorporates dynamic positioning capabilities with the processing tool that can be precisely positioned and moved between different plant locations. The tool unit with positioning mechanism allows real-time adjustment of intervention positions, enabling the system to adapt to varying plant densities and positions across multiple rows without requiring physical reconfiguration.
2Reliability
If manual weeding is performed in organic farming, then selective weed control is achieved, but labor intensity is very high
Solution Approach 1:
The system performs autonomous visual detection and classification of plants and weeds using the visual detection unit with camera and evaluation algorithm. The device automatically identifies target plants and determines intervention positions without human intervention, generating control signals that autonomously operate the processing tool. This self-service capability maintains selective weeding accuracy while eliminating the need for labor-intensive manual operations.
Solution Approach 2:
The manual mechanical weeding process is replaced with an automated system combining visual detection (optical), data processing (computational), and controlled tool application (mechanical). The camera-based detection system substitutes for human visual inspection, while the automated positioning and tool activation replace manual weeding actions, achieving both selectivity and efficiency.
3Productivity
If tractor-mounted implements are used for weed control, then large area coverage is achieved, but selectivity is lost and crop damage occurs
Solution Approach 1:
The system applies localized treatment by precisely positioning the processing tool only at the specific coordinates of detected target plants. The visual detection unit continuously monitors and identifies individual plants, and the control unit generates precise positioning commands. This local quality approach ensures that only weeds are treated while crops remain unaffected, maintaining selectivity while achieving comprehensive coverage through systematic scanning of the entire area.
Solution Approach 2:
The system employs continuous feedback through the visual detection unit that monitors plant positions in real-time. The camera captures images, the evaluation algorithm identifies target plants, and the control unit adjusts tool positioning based on this feedback. This closed-loop feedback mechanism ensures selective treatment by continuously verifying target identification and adjusting positions to avoid crop interference, while maintaining high area coverage through systematic scanning.
4Extent of automation
If devices are designed with integrated units, then real-time processing is achieved, but device complexity increases
Solution Approach 1:
The system is divided into two separable units: first unit containing visual detection, data processing, and control functions; second unit containing the processing tool and positioning mechanism. This segmentation reduces the complexity of any single unit while enabling real-time operation through wireless communication between units. The modular design allows independent optimization of detection and processing functions while maintaining overall system automation.
Data Source
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AI summary
The invention relates to a mobile analysis and processing device (14) for agriculture for processing the soil and/or manipulating flora and fauna. The device (14) comprises at least one sensor (62), a tool unit (52) having at least one motor-driven tool (58), an actuator (48) for moving at least the tool (58) of the tool unit (52), a motor (50) for driving the tool (58) and/or the actuator (48), a database (78), a first communication unit (60) having an interface (70a), and a first computer (46) for controlling the sensor (62), the tool unit (52) and the actuator (48) by means of generated control commands. The data captured by means of the sensor (62) are continually compared with the data stored in the database (78) in order to generate corresponding control signals for the actuator (48), the tool unit (52) and/or the motor (50). By means of said device, mobility and flexibility are created, in accordance with which flexibility the device (14) forms a unit by means of which all data can be processed in real time, control signals can be generated for the actuator (48), the tool unit (52) and/or the motor (50) and immediate operation in accordance with the control signals is possible. Thus, combination with, for example, different carriers (12), which move the device (14) over the field if necessary, is possible.