Quantum-Driven Agricultural Innovation: Evaluating Wheat Flour Quality Through Thermal Imaging and Biophotonic Emissions

Crop quality and productivity are highly dependent on advancements in agricultural innovation. Quantum methods are a new strategy to maximize plant growth and food quality. Despite positive results, several issues remain. Establishing wave-based measuring standards, ensuring environmental adaptation, and validating results in various soil conditions are these problems. Using Quantum Wave-Assisted Thermal Biophotonic Analysis (QW-TBA), this research evaluates wheat flour quality. This method involves quantum theory, thermal imaging, and biophotonic emission analysis. QW-TBA encodes each thermal imaging pixel with wave-based parameters, specifically frequency-domain components and amplitude variations derived from biophotonic emission signals, enabling a spatially resolved spectral analysis of crop tissue responses. This technology connects biophotonic emissions to flour quality parameters to create non-invasive, real-time agricultural monitoring systems. The initial data suggests that this agronomic strategy might improve crop quality assessment accuracy.