3D Point Cloud Plant Location Detection Under Canopy Masking
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Solution Overview
Problem
Identifying plant locations in agricultural terrains is challenging due to the masking effect of plant canopies, necessitating complex image processing to avoid collisions with plants during ground processing operations.
Innovation Solution
A method using a 3D point cloud analysis to identify plant locations by defining regions based on height and point distribution conditions, allowing for simple processing to guide machinery and automate tasks like weeding or spraying without colliding with plants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image analysis is used to identify plant locations, then plant location identification is achieved, but image processing complexity increases significantly
Solution Approach 1:
The patent replaces complex image processing systems with a 3D point cloud-based detection system. Instead of analyzing complex 2D images that require sophisticated image processing algorithms, the system uses 3D point cloud data from sensors (such as LiDAR) to directly identify plant locations through spatial analysis of point distributions and height conditions, thereby reducing processing complexity while maintaining identification accuracy
Solution Approach 2:
The patent transitions from 2D image analysis to 3D spatial analysis. By using 3D point cloud data that includes height information, the system can identify plant locations through vertical dimension analysis (checking if points meet height conditions) combined with horizontal spatial distribution patterns, which simplifies the detection logic compared to complex 2D image processing while improving robustness
2Measurement precision
If plant canopy is used for identification, then plant location can be detected, but the stem/trunk location is masked and cannot be identified
Solution Approach 1:
The patent segments the plant detection task into two independent parts: (1) using the visible plant canopy points to determine the plant's horizontal location and identify the region, and (2) using height condition analysis to confirm the presence of a vertical stem/trunk structure. This segmentation allows the system to work with the visible canopy while inferring the hidden stem location through spatial reasoning about the canopy's vertical extent
Solution Approach 2:
The patent uses the plant canopy as an intermediary to indirectly identify the stem/trunk location. Instead of directly detecting the hidden stem, the system uses the visible canopy points as a mediator to determine the plant's spatial position and then infers the stem location through height condition analysis, effectively using the canopy's spatial information to proxy for the hidden stem's position
Data Source
AI summary
In a method of identifying plant locations within a terrain, a 3D point cloud is received representing those points, in a 3D volume extending above the terrain, where solid matter is present. Regions of a reference plane of the 3D volume are identified for which solid matter aligned in a height direction with the reference plane region meets a first, height, condition. Volumes extending in the height direction relative to those identified regions are defined and volumes which meet a second, point distribution, condition are identified as extending above the plant locations.