Site-Specific Fertilizer Recommendations Using Remote Sensing
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Solution Overview
Problem
Existing fertilizer recommendation methods fail to account for in-field variability and long-term dynamics, leading to inefficient nutrient distribution and environmental damage.
Innovation Solution
A method that integrates remote sensing with in-field data to determine position-dependent yield and soil properties, adjusting fertilizer recommendations based on historical weather data and crop nutrition status to provide nutrient-specific corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote imagery is used to determine crop nitrogen levels, then the need for in-field inspection is eliminated, but other parameters dependent on soil varying properties and long-term dynamics cannot be assessed
Solution Approach 1:
The patent combines remote sensing data with in-field soil analysis data and historical yield data into an integrated system. This merging allows the system to maintain the ease of remote operation while recovering the information about soil properties and long-term dynamics that would otherwise be lost, resolving the contradiction between operational convenience and information completeness
Solution Approach 2:
The patent introduces an intermediary layer of data processing and integration that bridges remote sensing observations with ground-based soil measurements. This intermediary system processes satellite imagery in conjunction with soil test results and historical data to produce comprehensive fertilizer recommendations, allowing remote operation while preserving access to soil-specific information
2Ease of manufacture
If a uniform fertilizer recommendation is applied to the whole crop, then the application process is simplified, but in-field variability due to variance in parameters such as water and soil properties is not addressed
Solution Approach 1:
The patent implements local quality by generating spatially variable fertilizer recommendations based on in-field data. The system divides the field into zones with different nutrient needs and provides tailored fertilizer prescriptions for each zone, addressing soil variability and crop-specific requirements while maintaining practical implementability through zone-based management
3Reliability
If nitrogen fertilizer is applied in excess to prevent yield reduction, then crop yield is secured, but economic losses occur and the environment is damaged
Solution Approach 1:
The patent implements feedback mechanisms by using real-time crop monitoring data, soil test results, and historical yield information to dynamically adjust fertilizer recommendations. This feedback loop ensures that nitrogen is applied at optimal rates based on actual crop needs and environmental conditions, maintaining reliable yield production while preventing the harmful effects of excessive application
Solution Approach 2:
The patent changes the parameter of fertilizer application from fixed uniform rates to variable rates based on multiple factors including soil nutrient levels, crop growth stage, weather conditions, and historical data. This parameter optimization allows the system to maintain yield reliability while reducing harmful environmental impacts by applying only the necessary amount of nitrogen
Data Source
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AI summary
System (100) and method for adjusting a fertilizer recommendation for an agronomic field (1) based on remote sensing and the determination of a position dependent yield for adjusting it. In different embodiments, different approaches for a nutrient specific fertilizer recommendation adjustment are envisaged, comprising the selection of a fertilizer product.