Biostimulant Evaluation Weighting Across Variable Plant Conditions
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Solution Overview
Problem
Conventional methods struggle to accurately evaluate the effects of biostimulants applied to plants due to varying cultivation environments and plant physiological cycles, leading to unclear or absent effects in real-world applications.
Innovation Solution
An information processing method that involves acquiring measurement values of biostimulant effect factors, applying weights to these values, and calculating evaluation values using a function to assess the impact of biostimulants on plants.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional biostimulant application methods are used, then materials are applied to plants, but the effects cannot be accurately evaluated due to varying cultivation environments and plant physiological cycles
Solution Approach 1:
The patent transforms multiple measurement values from different factor items into a standardized evaluation value through parameter transformation. By changing the parameters (measurement values) into a unified evaluation scale using mathematical functions, the system can accurately compare and evaluate biostimulant effects across different cultivation environments and plant physiological cycles, resolving the contradiction between measurement precision and environmental variability
Solution Approach 2:
The patent divides the evaluation process into multiple factor items (e.g., growth promotion, stress tolerance, yield improvement) and assigns different weights to each factor. This segmentation allows the system to separately evaluate different aspects of biostimulant effects and then integrate them into a comprehensive evaluation, enabling accurate assessment despite environmental variations
2Loss of information
If multiple factor items are measured to evaluate biostimulant effects, then evaluation comprehensiveness is improved, but evaluation complexity increases
Solution Approach 1:
The patent merges multiple measurement values from different factor items into a single integrated evaluation value through a mathematical function. By combining comprehensive measurement data (growth, stress tolerance, yield) into one unified evaluation metric, the system maintains evaluation comprehensiveness while simplifying the final assessment output, thus resolving the contradiction between information completeness and evaluation complexity
Data Source
AI summary
Provided is an information processing method, wherein an information processing device executes: acquiring measurement values of one or a plurality of factor items related to a biostimulant effect factor of a plant from the plant to which a material with a function of enhancing tolerance to abiotic stress has been applied; weighting each acquired measurement value of each factor item using each weight; and calculating an evaluation value of the material by inputting each measurement value weighted by each of the weights into a function related to evaluation of the material.