Agricultural Sampling Location Selection
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Solution Overview
Problem
The challenge of efficiently sampling agricultural treatments in large crop fields with varying environmental factors requires a method to identify optimal sampling locations to minimize resource investment while ensuring comprehensive coverage of parameter space.
Innovation Solution
A computer-implemented method for selecting treatment sampling locations using a processor to compute environment class indices, distribute treatment polygons, and select locations within these polygons to maximize unique environmental parameter combinations, thereby optimizing sampling efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sampling is conducted at multiple locations in a large crop field to ensure comprehensive coverage of environmental parameters, then measurement precision and reliability are improved, but loss of time and resources increase
Solution Approach 1:
The field is divided into multiple treatment polygons based on environmental parameters, and sampling locations are strategically selected within each polygon. This segmentation allows comprehensive coverage of environmental variability while reducing the total number of sampling points needed compared to uniform grid sampling across the entire field.
Solution Approach 2:
Different sampling strategies are applied to different treatment polygons based on their specific environmental characteristics. The system identifies unique environmental parameter combinations in each polygon and selects sampling locations that maximize coverage of those local conditions, rather than applying a uniform sampling approach across the entire field.
2Reliability
If sampling is conducted at multiple locations to cover various environmental factors, then reliability of treatment effect assessment is improved, but quantity of substance (sampling materials and resources) increases
Solution Approach 1:
The field is divided into treatment polygons with distinct environmental characteristics. By selecting sampling locations that maximize coverage of unique environmental parameter combinations across these segmented regions, the system achieves reliable assessment of treatment effects across environmental gradients while minimizing the number of sampling points required.
Solution Approach 2:
The system uses environmental parameter values (soil properties, topography, etc.) to guide sampling location selection. By stratifying the field based on these parameters and selecting representative locations within each stratum, the method achieves comprehensive environmental coverage with fewer samples than random or systematic grid sampling.
3Loss of information
If comprehensive sampling is performed across the entire field, then loss of information is reduced, but productivity decreases due to substantial investment of time and resources
Solution Approach 1:
The field is segmented into treatment polygons based on environmental heterogeneity. This segmentation allows the system to identify and prioritize sampling locations that capture the full range of environmental variability across the field, ensuring comprehensive information coverage while reducing the total number of sampling points needed compared to exhaustive grid sampling.
Solution Approach 2:
The system applies local optimization within each treatment polygon by selecting sampling locations that maximize coverage of unique environmental parameter combinations. This ensures that environmental information from diverse conditions is captured efficiently, maintaining high information coverage while improving sampling productivity.
Data Source
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AI summary
In an embodiment, a computer-implemented method of selecting locations in a field for treatment sampling is disclosed. The method comprises receiving, by a processor, input data including a number T of treatments applied to a field, a number L of treatment locations for each treatment, a list of treatment polygons within the field, and a map for the field indicating one or more values of a set of design parameters corresponding to environment factors for each of a plurality of locations in the field. The method also comprises computing, by the processor, an environment class index for each of a group of locations in the list of treatment polygons based on the map; distributing the list of treatment polygons to the T treatments based on the computed indices; and selecting, for each of the T of treatments, L treatment locations from the group of locations in the treatment polygons distributed to the treatment. In addition, the method comprises causing display of information regarding the selected treatment locations.