Fertilizer Selection System Using Water Chemistry Classification
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Solution Overview
Problem
Growers face challenges in selecting the appropriate water soluble fertilizers due to the burden of testing water chemistry and consulting trained horticulturalists, often resulting in guesswork rather than optimal nutrient selection for plants.
Innovation Solution
A system and method that categorizes water types based on chemistry and pairs them with suitable fertilizer types, allowing growers to select fertilizers without needing expert consultation, using a classification system and labeling on fertilizer packaging, and potentially an automated system for easy selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If growers test water chemistry and consult trained horticulturalists for fertilizer recommendations, then fertilizer selection accuracy is improved, but time consumption and operational complexity increase
Solution Approach 1:
The patent pre-categorizes water types based on chemistry characteristics (soft, hard, acidic, alkaline) and pre-establishes corresponding fertilizer recommendations for each category. This preliminary classification allows growers to bypass time-consuming expert consultation by directly matching their water type to recommended fertilizers, resolving the contradiction between accuracy and time consumption.
Solution Approach 2:
The system enables growers to independently determine their water type using simple classification criteria and select appropriate fertilizers without requiring trained horticulturalist intervention. The self-service approach maintains fertilizer selection accuracy while eliminating the time loss associated with expert consultation.
2Ease of operation
If growers rely on marketing descriptions and best guesses for fertilizer selection, then ease of operation is improved, but fertilizer selection accuracy deteriorates
Solution Approach 1:
The patent segments the complex task of fertilizer selection into simple, discrete steps: identify water type (soft, hard, acidic, alkaline) based on basic chemistry characteristics, then select from pre-recommended fertilizers for that type. This segmentation maintains ease of operation while improving accuracy by replacing guesswork with a structured decision framework.
Solution Approach 2:
The system changes the selection parameter from subjective marketing descriptions to objective water chemistry-based categories. By transforming the selection criteria into measurable parameters (water type classification), the system simultaneously improves ease of operation through clear categories and accuracy through objective, science-based recommendations.
3Measurement precision
If comprehensive water chemistry testing is performed, then fertilizer recommendation accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts only the essential water chemistry parameters needed for fertilizer selection (calcium, magnesium, pH indicators for soft, hard, acidic, alkaline classification) from comprehensive water analysis. This extraction eliminates the need for complex, expensive testing equipment while maintaining sufficient accuracy for the specific application of fertilizer recommendation.
Solution Approach 2:
Instead of performing complete comprehensive water chemistry testing, the system applies partial action by measuring only the specific parameters relevant to fertilizer selection. This partial testing approach reduces device complexity and cost while providing sufficient precision for making informed fertilizer choices.
Data Source
AI summary
A system, method and computer readable program is disclosed for facilitating the selection of a fertilizer. The basis for selecting the fertilizer includes determining the water type based on the water chemistry and taking into consideration the crop type that is to be grown.