Extinction Coefficient Estimation Using Partial Field Sampling
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Solution Overview
Problem
Existing methods require a large calculation effort to accurately determine the extinction coefficient for a field area, making it difficult to achieve precise leaf area predictions.
Innovation Solution
A coefficient calculation device that calculates extinction coefficients for partial areas using relevance information and characteristic values, reducing the computational workload by focusing on a subset of areas and utilizing functions like exponential and polynomial fits to determine coefficients for other areas based on generated relevance information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the extinction coefficient is calculated for the entire field area using predetermined calculation processing, then the accuracy of the extinction coefficient is improved, but the calculation time increases
Solution Approach 1:
The field area is divided into multiple partial areas, and the extinction coefficient is calculated for only a selected part of these partial areas rather than the entire field. This segmentation approach maintains accuracy for the target area while reducing overall calculation time and computational resources required.
Solution Approach 2:
Instead of calculating the extinction coefficient for all partial areas in the field, the method performs calculation processing only for a selected subset of partial areas. This partial action approach achieves the necessary accuracy for the target area without the excessive computational effort required for complete field coverage.
2Loss of time
If the extinction coefficient is calculated for only a part of partial areas, then the calculation time is reduced, but the accuracy for other areas may be compromised
Solution Approach 1:
The method calculates the extinction coefficient for a selected part of partial areas and then uses this calculated information as a reference or model to determine extinction coefficients for other partial areas. This copying approach allows accurate estimation for the entire field based on calculations performed only for a subset of areas.
Solution Approach 2:
The extinction coefficient calculated for the selected partial areas serves multiple purposes: it is used directly for those areas and also serves as reference information for determining extinction coefficients in other partial areas through the relevance information. This multi-functional use of the calculated data maximizes the value of limited calculations.
3Productivity
If relevance information is generated and used to calculate extinction coefficients for other areas, then the computational workload is reduced, but the complexity of the calculation process increases
Solution Approach 1:
The method performs preliminary calculation processing to generate relevance information that represents the relationship between extinction coefficients and characteristic values of partial areas. This preliminary action creates a reference framework that simplifies subsequent calculations for other areas, reducing overall computational workload despite the initial setup complexity.
Solution Approach 2:
The relevance information acts as an intermediary between the calculated extinction coefficients and the characteristic values of partial areas. This intermediary element enables efficient calculation for other areas by providing a established relationship model, reducing the need for complex direct calculations while maintaining accuracy.
Data Source
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AI summary
Provided is a coefficient calculation device, etc., with which an accurate light-absorption coefficient pertaining to a given region can be calculated in a short period of time. A coefficient calculation device 401 has: a first coefficient calculation unit 402 for calculating, according to a prescribed calculation process, a light-absorption coefficient pertaining to a portion of partial regions from among a plurality of partial regions in an agricultural field; an association information creation unit 404 for creating association information that represents an association between the light-absorption coefficient calculated in relation to the portion of the partial regions and a feature value representing a feature pertaining to the portion of the partial regions; and a second coefficient calculation unit 403 for calculating, on the basis of the feature value pertaining to partial regions that are different from the portion of partial regions from among the plurality of partial regions and on the basis of the association information created by the association information creation means, the light-absorption coefficient pertaining to the different partial regions.