A new process for the production of instant red jasmine rice was investigated using fluidized bed drying with the aid of swirling compressed air. Drying characteristics were evaluated using the operating parameters of fluidizing air temperature (90–120 °C) and pressure of swirling compressed air (4–6 bar). Appropriate air pressure was determined based on the highest value of model parameters from the semi-empirical Page equation and effective diffusivity. Influences of supply time of swirling compressed air (2–10 min) and drying temperature of 90–120 °C were investigated and optimized based on the quality attributes using response surface methodology. Drying at 120 °C and compressed air pressure of 6 bar gave the highest rate constant and effective diffusion coefficient. Drying at 120 °C combined with injecting swirling air for 2 min was the most suitable approach, while drying at 90 °C and supplying compressed air for 10 min was the best choice to preserve antioxidant properties. Air temperature of 98.5 °C with 2 min supply of swirling compressed air suitably provided high physical and rehydration properties and retained high health benefits of antioxidant compounds. Finally, after rehydration in warm water at 70 °C for 10 min, the textural properties of the rehydrated rice sample were comparable to conventionally cooked rice.

Magnetic field (MF) priming provides a chemical-free alternative to conventional methods; however, static exposure approaches are often limited by spatial heterogeneity in field–seed interaction caused by fixed seed positioning, undermining both treatment uniformity and reproducibility. To address this, the present study investigated the effects of dynamic MF exposure on the germination and early growth of Khao Dawk Mali 105 (KDML 105) rice seeds. A novel MF testing apparatus was developed using a 150 mT permanent magnet and a vortex-based air injection system designed to continuously rotate and redistribute seeds, ensuring uniform exposure. Seeds were treated for 0, 5, 10, 15, and 20 min to evaluate effects on vigor, germination, and seedling growth. The results showed that 5 and 10 min exposures significantly enhanced seed vigor (93.00% and 94.67%, respectively) compared to the control (83.33%), with 10 min yielding the highest improvement (p < 0.05, DMRT). Shoot and root growth also increased by 14.21% and 99.59%, respectively. These findings suggest that moderate-duration dynamic MF exposure is an efficient, eco-friendly priming technique for improving seed vigor and early growth. Future research should explore long-term agronomic impacts, economic feasibility, and varietal responses. The apparatus’s scalable design supports integration into industrial seed processing lines, advancing sustainable rice production.

Seed ageing reduces germination and seedling performance, but variation in these responses and hydration kinetics across dynamic magnetic-field exposure (DMFE) conditions is poorly defined. Khao Dawk Mali 105 rice seeds (Oryza sativa L.) stored for 10–13 months were treated for 3, 6, or 9 min at nominal maximum surface flux densities of 150, 270, 370, or 470 mT. Untreated controls were excluded from the factorial analyses and used as descriptive references. Water uptake was modelled kinetically, and germination, vigour, and seedling growth by response surfaces; for early germination the arcsine-square-root scale was adopted after grouped cross-validation. Storage duration dominated every endpoint, especially early germination (η_p² = 0.991), declining approximately 28 percentage points per month. DMFE-associated differences were concentrated during early imbibition: treated seeds took up 2.9–4.9 percentage points more water than controls at 6 h, narrowing to 0.6–1.2 points by 42 h. The Reduced Dual-Phase Gompertz model was decisively favoured (ΔAICc = 260.2–347.2). Flux density was retained in the earlier hydration amplitude and all six seedling-growth models, and on the arcsine scale in a shallow early-germination profile whose selection was sensitive to design support and which did not improve cross-validated prediction. Independent seed lots, airflow-only controls, and field validation are required before practical recommendations.