The study was conducted at Apita’s Integrated Farm School at Appas, Tabuk City, Kalinga, from August 2024 to December 2024. A Randomized Complete Blocked Design (RCBD) with a two-factorial structure was employed. The study aimed to evaluate the agronomic and physiological response of inbred rice under different drone seeding parameters through two experiments. The study investigated the effects of drone speed (5, 6, and 7 m/s) and seeding rate (40, 60, and 80 kg/ha). Results showed that drone speed significantly influenced plant density, with 6 m/s producing the highest density. However, seeding rate alone did not significantly affect plant density, panicle number, spikelet count, or yield. No significant interaction effects were observed between drone speed and seeding rate, indicating that these factors function independently. Physiological traits, such as harvest index (HI), leaf area index (LAI), crop growth rate (CGR), and net assimilation rate (NAR), were not significantly affected by either factor. Correlation analysis showed that early vegetative traits (e.g., plant density and tiller number) were positively interrelated, while grain yield was more strongly associated with reproductive traits, particularly 1000-grain weight. Economic analysis identified the most profitable treatment as a drone speed of 7 m/s with a seeding rate of 60 kg/ha, yielding a net income of PhP 26,166 and a benefit-cost ratio (BCR) of 1.51. Drone seeding also proved financially viable at scale, with estimated annual returns of PhP 1.26 million over 1000 hectares, a breakeven price of PhP 720.70/ha, payback period of 1.58 years, NPV of PhP 2.39 million, and BCR of 1.40. The study concludes that drone seeding is a promising and cost-effective approach for rice cultivation. It recommends using a 60 kg/ha seeding rate and mid-range drone speed or altitude for optimal performance. Further research is suggested across multiple cropping seasons and rice varieties to validate and refine these findings.