Genetic Treatment Parameter Mapping for Zone-Specific Field Control
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Solution Overview
Problem
Farmers face challenges in determining appropriate treatment parameters for agricultural fields due to unknown genetic information of harmful or beneficial organisms, leading to inefficient control methods and potential yield losses.
Innovation Solution
A computer-implemented method that processes genetic information of organisms in agricultural fields to determine treatment parameters such as time windows, methods, products, dose rates, and zone-specific application maps, using databases containing genetic and treatment data to output optimized treatment strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If genetic analysis is performed to determine treatment parameters, then treatment precision is improved, but time consumption and complexity increase
Solution Approach 1:
The system performs genetic analysis and determines treatment parameters in advance, before the actual treatment decision is needed. Genetic information is processed beforehand to pre-determine effective treatments, so when a treatment decision is required, the result is already available, eliminating time delays between analysis and decision-making.
Solution Approach 2:
The system uses nanopore sequencing to create genetic copies or representations of organisms for analysis. By working with genetic material copies rather than requiring complex live organism analysis, the system achieves rapid genetic information processing while maintaining high precision in treatment parameter determination.
2Measurement precision
If genetic analysis is performed to determine treatment parameters, then treatment precision is improved, but device and process complexity increase
Solution Approach 1:
The system introduces a database as an intermediary component that stores pre-analyzed genetic information and treatment parameter relationships. This database acts as a mediator between the nanopore sequencing device and the treatment decision system, simplifying the overall complexity by providing a structured repository that connects genetic data to treatment recommendations without requiring direct complex processing at each stage.
Solution Approach 2:
The nanopore sequencing system is designed to perform multiple functions: it sequences genetic material, identifies organisms, determines genetic resistance profiles, and provides data for treatment parameter determination. This multi-functionality reduces the need for separate specialized devices for each analytical step, thereby reducing overall system complexity while maintaining high treatment precision.
3Ease of operation
If conventional treatment methods are used without genetic information, then ease of operation is maintained, but treatment effectiveness decreases
Solution Approach 1:
The system enables the treatment process to self-adjust based on genetic information. By automatically determining treatment parameters from genetic analysis results, the system eliminates the need for manual expert judgment while ensuring treatment effectiveness is optimized for the specific genetic profile of the target organism, thus maintaining simplicity while improving reliability.
4Device complexity
If generic treatment parameters are applied, then application complexity is reduced, but treatment effectiveness against specific mutations decreases
Solution Approach 1:
The system determines treatment parameters specifically tailored to the local genetic characteristics of the target organism. Rather than applying uniform generic parameters, the nanopore sequencing identifies specific genetic mutations and resistance profiles, and the system adjusts treatment parameters locally to match the specific genetic makeup of the organism being treated, ensuring high effectiveness while maintaining manageable complexity through automated parameter determination.
Data Source
AI summary
A computer-implemented method for determining at least one of the treatment parameters selected from the group consisting of: a) at least one time window for a treatment in an agricultural field, b) at least one method for a treatment in an agricultural field, c) at least one product for a treatment in an agricultural field, d) at least one dose rate for a treatment in an agricultural field, and e) at least one application map for conducting a zone-specific treatment in an agricultural field, comprising the following steps: (step 1) providing genetic information of at least one organism which existed or is existing or is expected to exist in the agricultural field, (step 2) at least based on the genetic information of the at least one organism, initiating and/or performing data processing in at least one database and/or data-base system containing (i) genetic information data and (ii) data related to the at least one treatment parameter, (step 3) outputting the at least one treatment parameter based on the result of the data processing.