Plant Processing Control for Optical Pest Exclusion in Vine Rows
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing plant processing systems in row crops, particularly in viticulture, fail to efficiently detect and exclude plants infested with pests or diseases like Esca, leading to potential spread and reduced harvest quality.
Innovation Solution
A device equipped with a multispectral camera and control system that detects vitality parameters and pest infestation, adjusts processing units to avoid infested plants, and marks or treats them accordingly, using geolocation for precise identification and management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high driving speeds and simultaneous cultivation of multiple rows are used, then productivity is improved, but the ability to detect and exclude pest-infested plants deteriorates
Solution Approach 1:
The system performs preliminary detection of vitality parameters and pest infestation on plants before processing occurs. The detection unit scans plants ahead of time, identifying infested plants so they can be excluded from subsequent processing operations, allowing high-speed operation without sacrificing detection reliability
Solution Approach 2:
The control unit acts as an intermediary between the detection unit and processing unit. It receives detection data, processes it to identify infested plants, and generates control signals to adjust processing accordingly, enabling the system to maintain both high speed and reliable pest exclusion
2Reliability
If detection and exclusion of pest-infested plants is implemented, then harvest quality is improved, but device complexity increases
Solution Approach 1:
The detection unit is designed to detect multiple parameters (vitality indicators and pest infestation signs) simultaneously using optical sensors. This multi-functionality allows the system to improve harvest quality through comprehensive detection without proportionally increasing device complexity
Solution Approach 2:
The system automatically detects, identifies, and excludes infested plants without requiring manual intervention. The control unit autonomously processes detection data and adjusts processing operations, reducing the need for additional complex control mechanisms while maintaining high harvest quality
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
Enables rapid detection and prevention of pest spread, ensuring high-quality harvests by excluding infested plants and allowing targeted, timely measures.
Implementation Method 1
a detection unit (110) configured for the optical detection of vitality parameters and/or pest infestation on a plant
Data Source
Figure 1~2
AI summary
The invention relates to a device (100) for the moving processing of plants, comprising a detection unit (110) configured for the optical detection of vitality parameters and/or pest infestation on a plant, a processing unit (120) downstream of the detection unit in the direction of travel, and a control unit (130). At least signals from the detection unit (110) are supplied to the control unit (130). The control unit (130) is configured to output control signals (S) to the processing unit (120), by means of which the processing unit (120) can be controlled to adjust the processing of plants with vitality parameters deviating from target values and/or plants infested by pests.