Quantifying the true cost of carbon credits for equitable farmer pricing
Research initiative to quantify the real cost farmers bear to produce carbon credits, addressing the gap between current carbon credit payouts and actual farming expenses. Leverages advanced soil diagnostics to establish...
Hyperspectral tissue analysis for in-season plant health diagnostics
Expansion of Persistence Data Mining's hyperspectral diagnostic platform from soil and post-harvest grain analysis into in-season plant tissue testing. The solution delivers rapid, non-destructive nutrient and health ass...
Dragon fruit peel powder with enhanced antioxidant properties
Introducing dragon fruit peel powder, a natural antioxidant-rich ingredient that enhances phenolic and betacyanin contents while reducing harmful chemicals in food products. Ideal for health-focused food formulations.
Quantum-enhanced spectroscopy for chelating agent detection
Leverage quantum computing to enhance the accuracy of chelating agent quantification using spectroscopy, aimed at improving analysis in agriculture and beyond.
Hyperspectral analysis for enhanced food safety using machine learning
Explore advanced hyperspectral analysis for food safety by comparing machine learning and deep learning models for signal processing. This solution leverages years of soil spectroscopy research to improve predictive accu...
Standardized spectroscopy method for detecting mycotoxins in corn
A novel spectroscopy-based method for rapidly detecting mycotoxins in corn, offering a faster and more cost-effective alternative to traditional extractants, validated to TRL 6 and ready for further standardization.
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