Spectrometer-Based Nutrient Detection for Crop Management
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Solution Overview
Problem
Current methods for determining agricultural conditions, particularly nitrogen levels in crops, are either laborious, untimely, or insufficiently precise, and lack the capability to detect other essential nutrients like potassium, sulphur, and phosphorous, making it challenging for growers to optimize fertiliser applications and achieve balanced nutrient levels.
Innovation Solution
A system that uses a spectrometer to acquire spectral data from agricultural samples, which is then processed using computational models to determine agricultural conditions and recommend interventions, including nutrient supplements, by correlating spectral data with known reference samples and environmental parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If laboratory testing is used to measure nitrogen levels, then measurement precision is improved, but productivity deteriorates due to laborious and untimely processes
Solution Approach 1:
The patent replaces the mechanical laboratory testing system with an optical spectrometer-based system. The spectrometer uses light absorption spectroscopy to measure nitrogen levels in crops, eliminating the need for manual sample collection, laboratory processing, and chemical analysis. This substitution enables rapid field-based measurements while maintaining measurement precision through spectral analysis of plant tissue.
Solution Approach 2:
The patent introduces spectral data as an intermediary between the physical crop and the nitrogen level measurement. Instead of directly measuring nitrogen content through chemical tests, the system measures the spectral reflectance characteristics of plant tissue, which serve as an intermediary indicator of nutrient status. This intermediary approach enables non-destructive, rapid assessment while preserving measurement accuracy through calibrated spectral-nitrogen relationships.
2Productivity
If NDVI imaging is used to assess crop conditions, then productivity is improved through faster assessment, but measurement precision deteriorates due to insufficient precision for fertiliser decisions
Solution Approach 1:
The patent transitions from the broad, area-wide NDVI imaging approach to localized, point-specific spectral measurements. By using a handheld spectrometer to measure individual plant or tissue samples, the system captures detailed local spectral characteristics that are sensitive to specific nutrient levels. This local quality approach provides the measurement precision needed for site-specific fertiliser recommendations while maintaining rapid field-based productivity.
3Productivity
If existing nitrogen sensors are used, then productivity is improved through rapid nitrogen detection, but adaptability deteriorates because they cannot detect other nutrients like potassium, sulphur and phosphorous
Solution Approach 1:
The patent implements a universal spectrometer-based platform that can detect multiple nutrients simultaneously. By measuring the full spectral range of plant tissue reflectance, the system can identify characteristic absorption features associated with different nutrients including nitrogen, potassium, sulphur, and phosphorous. This multi-functional capability allows a single device to provide comprehensive nutrient assessment across all major plant nutrients, enhancing adaptability while maintaining rapid field-based productivity.
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 provides timely and accurate assessments of nutrient levels and conditions, enabling informed fertiliser applications and optimizing crop productivity by balancing nutrients, thus improving yield and reducing costs.
Implementation Method 1
acquire spectral data by measuring sample radiation at least one of reflected from and transmitted through an agricultural sample
Implementation Method 2
acquire spectral data by measuring sample radiation at least one of reflected from and transmitted through an agricultural sample
Data Source
AI summary
Apparatus for determining an agricultural condition in an agricultural environment, the apparatus including one or more processing devices configured to acquire spectral data by measuring sample radiation at least one of reflected from and transmitted through an agricultural sample obtained from the agricultural environment, use the spectral data and at least one computational model to determine an agricultural condition, the computational model embodying relationships between the spectral data and different agricultural conditions and use the agricultural condition to determine an indicator indicative of at least one of: the agricultural condition and an intervention to improve the agricultural condition.