3D Crop Plant Segmentation for Subpart Treatment Control
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Solution Overview
Problem
Existing agricultural technologies lack the ability to apply precise agricultural treatments on a sub-crop plant level, such as spraying, harvesting, and pruning, due to insufficient methods for determining crop plant characteristics.
Innovation Solution
A method for determining output data from crop plant characteristics involves segmenting a three-dimensional model of the crop plant into multiple segments, allowing for segment-specific agricultural treatment control signals to be generated, which are used to control agricultural machines for precise application of treatments like spraying, harvesting, and pruning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If agricultural treatment is applied to entire crop plants based on overall measurement data, then uniform treatment can be achieved across the field, but precise sub-crop plant level treatment cannot be implemented
Solution Approach 1:
The patent segments the crop plant into multiple three-dimensional segments (e.g., crown, trunk, roots) and determines characteristics for each segment separately. This enables precise sub-crop plant level treatment by analyzing and treating different parts of the plant independently, rather than applying uniform treatment to the entire plant.
Solution Approach 2:
The patent applies different measurement and treatment approaches to different segments of the crop plant based on their specific characteristics. Each segment (crown, trunk, roots) receives tailored analysis and treatment appropriate to its local requirements, improving overall treatment precision.
2Manufacturing precision
If three-dimensional model segmentation is implemented for precise treatment control, then sub-crop plant level treatment precision is improved, but data processing requirements increase
Solution Approach 1:
By dividing the three-dimensional crop plant model into distinct segments (crown, trunk, roots), the system can process and analyze each segment independently with appropriate algorithms, reducing the computational complexity compared to processing the entire plant as a single unit while maintaining high treatment precision.
Solution Approach 2:
The patent applies measurement and analysis only to the specific segments that require treatment or are relevant to the treatment goal, rather than processing all possible characteristics of the entire plant. This partial action approach reduces data processing requirements while maintaining treatment precision.
3Measurement precision
If segment-specific operation control signals are generated for each three-dimensional segment, then precise agricultural treatment application is achieved, but system complexity increases
Solution Approach 1:
The system generates operation control signals segmented by three-dimensional segments of the crop plant, allowing precise control of agricultural machines for treating specific plant parts. The segmentation enables automated generation of targeted control signals without requiring complex manual programming for each treatment scenario.
Solution Approach 2:
The system automatically generates segment-specific operation control signals based on the measured characteristics of each three-dimensional segment, enabling the agricultural machine to self-adjust and self-control for precise treatment without requiring constant manual intervention or complex external control systems.
Data Source
AI summary
A method for determining output data from crop plant characteristics for a crop plant comprising, in a data processing system: providing measurement data detected for a crop plant; determining model data representing a three dimensional model of the crop plant from the measurement data; segmenting the three dimensional model; determining first crop plant characteristics for a first subpart of the crop plant provided in a first three dimensional segment; and providing output data at an output device. The output data comprise at least one of the following: media data; and operation control data indicative of operation control signals for controlling operating of an agricultural machine working on the crop plant, the operation control signals comprising first operation control signals determined from the first crop plant characteristics and configured to control operation of the agricultural machine for applying an agricultural treatment to the first subpart of the crop plant.