Seokho Han
Papers
1
Total Citations
7
H-Index
1
About
Seokho Han is a leading researcher in smart agriculture and precision farming, with a focus on leveraging artificial intelligence and sensor technologies to address critical challenges in food security and agricultural sustainability. His most cited work, "Prediction of Sensor Data in a Greenhouse for Cultivation of Paprika Plants Using a Stacking Ensemble for Smart Farms" (2023, 7 citations), introduces a novel stacking ensemble model that significantly improves the accuracy of environmental sensor predictions in controlled greenhouse environments. This contribution directly addresses pressing issues in South Korea’s agricultural sector, including an aging farming population and labor shortages, by enabling more efficient, data-driven crop management. Han’s research integrates machine learning with IoT sensor networks to optimize growing conditions for high-value crops like paprika, demonstrating practical applications for smart farm automation. His work has been recognized for its potential to enhance yield prediction and resource efficiency, positioning him as a key innovator in the intersection of computer science and agricultural engineering. Through these efforts, Han is helping to pave the way for resilient, technology-driven farming systems that can adapt to demographic and environmental pressures.
Research Focus
Key Achievements
Top Papers
- 1