Research Cluster
Smart Agriculture & Precision Farming
Precision farming studies that connect sensing, irrigation optimization, crop monitoring, and machine vision for stronger field-level decisions.
- Energy cost optimization in irrigation system of smart farm by using genetic algorithm
- Coverage path planning on multi-depot, fuel constraint UAV missions for smart farm monitoring
- Integrated Weed Estimation and Pest Damage Detection in Solanum melongena Plantation via Aerial Vision-based Proximal Sensing
- Classification and Percent Severity of Pechay Damage Caused by Cutworm (Spodoptera litura)
- Hybrid Lighting System for Indoor Crop Production
- Design of Solar-powered Irrigation System based on Penman-Monteith Model
- Implementation of a Collapsible Solar Power Station for Farm Irrigation
- Dual-Sense Irrigation System Using Infused Weather and Soil Data for Efficient Water Management
- Morphological characterization of Liberica coffee seedlings via machine vision
- Dynamic Coefficient Triangular Greenness Index for Aerial Phenotyping in a Liberica Coffee Farm