GPS-Guided Crop Nutrient Measurements for Fertilizer Recommendations
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Solution Overview
Problem
Existing methods for determining crop nutrient content are cumbersome and often provide non-representative measurements, leading to inaccurate fertilizer recommendations due to in-field variability, which can result in yield loss and environmental damage.
Innovation Solution
A system and method that uses remote data and crop nutrient detection devices to determine measurement regions within a field, adjusting fertilizer recommendations based on in-field variability and providing targeted measurement locations for accurate nutrient assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If handheld devices are used for direct measurement of crop nitrogen levels, then measurement precision is improved, but productivity deteriorates due to the need for numerous measurements across the field
Solution Approach 1:
The field is divided into multiple measurement zones based on GPS coordinates and spatial distribution. Instead of measuring every plant, the system segments the field into representative areas and selects specific measurement locations within each zone, reducing the total number of measurements needed while maintaining accuracy.
Solution Approach 2:
The system pre-determines optimal measurement locations and zones before actual measurements are taken. By using GPS data and spatial analysis in advance, the system identifies where measurements should be conducted, eliminating the need for exhaustive field surveys and enabling farmers to quickly assess nitrogen levels at predetermined strategic points.
2Ease of operation
If measurements are taken at random locations, then ease of operation is improved, but measurement precision deteriorates due to non-representative samples
Solution Approach 1:
The system uses GPS location data as feedback to determine whether a measurement location is appropriate. By continuously monitoring the spatial coordinates of measurement points and comparing them against predefined measurement zones, the system ensures that measurements are taken at representative locations rather than random ones, maintaining both ease of operation and measurement accuracy.
Solution Approach 2:
Different regions of the field are assigned different measurement characteristics based on their spatial properties. The system identifies specific zones with particular nitrogen level patterns and selects measurement locations that are representative of each zone's local conditions, ensuring that measurements accurately reflect the heterogeneity of the field rather than treating all areas uniformly.
3Measurement precision
If comprehensive field measurements are conducted to account for in-field variability, then measurement precision is improved, but loss of time increases
Solution Approach 1:
Instead of conducting exhaustive measurements across the entire field, the system performs partial measurements at strategically selected locations that are sufficient to capture in-field variability. By using spatial analysis to identify representative zones and measuring only in those areas, the system achieves accurate fertilizer recommendations without the time cost of comprehensive field surveys.
Solution Approach 2:
The system changes the parameter of measurement location from random or uniform distribution to spatially optimized positions based on GPS coordinates and field heterogeneity analysis. By transforming how measurement locations are selected rather than changing the measurement process itself, the system reduces time requirements while maintaining or improving the accuracy of fertilizer recommendations.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach ensures accurate fertilizer recommendations by accounting for in-field variations, reducing the need for extensive manual measurements and improving crop health and yield while minimizing environmental impact.
Implementation Method 1
Some of these devices usually determine the chlorophyll (directly related to nitrogen content) by means of optical measurements
Implementation Method 2
SPAD-502Plus determines the relative amount of chlorophyll present by measuring the absorbance of the leaf in two wavelength regions using two LED (light emitting diode) elements and one silicone photodiode
Data Source
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AI summary
System (100) and method for providing a fertilizer recommendation for an agronomic field (20) based on a direct measurement of a crop nutrient level at a measurement location (310), comprising receiving field and remote data. Optional approaches include adjusting the fertilizer recommendation based on at least one of the received field, farm and/or weather data. Alternatively, based on field data, at least one measurement region (300) for carrying out a measurement for providing a fertilizer recommendation is determined. Optional approaches include receiving remote data, farm data and/or weather data to improve the measurement region determination.