Visualisation and Prediction of Phosphate Deficiency via Auto-Glowing Plant Bioluminescent Sensors.

This study introduces BioLumiPi, a novel, low‐cost, and non‐invasive biosensor plant, engineered by combining a phosphate (Pi) deficiency‐induced promoter with a fungal bioluminescence system in tobacco. BioLumiPi plants emit light that accurately reflects endogenous Pi deficiency and responds specifically to Pi levels. Coupled with deep learning analysis, this technology offers a proof‐of‐concept strategy for real‐time visualisation and prediction of nutrient stress to optimise fertiliser application and advance sustainable agriculture.