Field-Specific Glufosinate Application Using Nitrogen Content Mapping
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Solution Overview
Problem
Current methods for applying herbicides in agricultural fields lack accuracy, leading to inefficiencies in yield and environmental impact due to varying nitrogen content in plants and soils, which affects the efficacy and phytotoxicity of glutamine synthetase inhibitors like glufosinate.
Innovation Solution
A computer-implemented method using an application rate model that correlates nitrogen content data with the optimal application rate of glutamine synthetase inhibitors, such as glufosinate, across different sections of an agricultural field, leveraging nitrogen content data from measurements and satellite imaging to determine precise application rates for efficient weed control while minimizing environmental burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a uniform application rate of glutamine synthetase inhibitor is used across the entire field, then the application process is simple and fast, but the herbicide efficacy is reduced due to varying nitrogen content in different field sections
Solution Approach 1:
The patent applies local quality by determining application rates specifically for different sections of the agricultural field based on their individual nitrogen content. Satellite image data is used to identify sections with varying nitrogen levels, and the application rate model calculates optimized rates for each section, ensuring that herbicide application is tailored to local conditions rather than applying a uniform rate across the entire field.
Solution Approach 2:
The patent changes the application rate parameter based on nitrogen content variations. The application rate model uses nitrogen content data as an input parameter to dynamically adjust the recommended application rate for each field section. This parameter change approach allows the system to optimize herbicide application rates according to actual field conditions, improving both efficacy and efficiency.
2Reliability
If the application rate of glutamine synthetase inhibitor is increased to ensure weed control, then herbicide efficacy improves, but phytotoxicity on desirable plants increases and environmental burden worsens
Solution Approach 1:
The patent applies partial action by determining application rates that are sufficient for each specific field section based on its nitrogen content, rather than applying an excessively high uniform rate across the entire field. The application rate model calculates the minimum necessary application rate for each section to achieve effective weed control while avoiding excessive application that would cause phytotoxicity to desirable plants or increase environmental burden.
Solution Approach 2:
The patent uses feedback from satellite image data and nitrogen content measurements to adjust application rates. The system obtains nitrogen content data, processes it through the application rate model, and uses the results to determine optimized application rates for different field sections. This feedback mechanism ensures that application rates are based on actual field conditions, achieving effective weed control while minimizing phytotoxicity and environmental impact.
3Measurement precision
If nitrogen content data is obtained through satellite imaging and measurements, then application rate accuracy improves, but the complexity of the application process increases
Solution Approach 1:
The patent uses satellite image data as an intermediary to obtain nitrogen content information without requiring direct field measurements for every location. The satellite data serves as a mediator that provides spatially distributed nitrogen content estimates across the field, which are then processed by the application rate model. This intermediary approach maintains measurement accuracy while reducing the complexity of direct field sampling and measurement procedures.
Data Source
AI summary
Computer-implemented method for providing application data for an agricultural field, comprising the following steps: providing an application rate model for a plant, wherein the application rate model is configured to describe a relationship between a nitrogen content and an application rate of a glutamine synthetase inhibitor (S10): obtaining nitrogen content data of at least a section of the agricultural field (S20); providing the nitrogen content data of the at least one section of the agricultural field to the application rate model (S30); determining the application rate of the glutamine synthetase inhibitor of the at least one section of the agricultural field using the application rate model (S40); providing the application rate of the glutamine synthetase inhibitor for the at least one section of the agricultural field (S50).