Charith Jayasekara
Papers
1
Total Citations
11
H-Index
1
About
Charith Jayasekara is a researcher at the forefront of agricultural technology, specializing in precision farming, automation, and intelligent greenhouse systems. His work centers on integrating computer vision, IoT, and machine learning to solve critical challenges in modern agriculture, particularly for vertical farming and controlled-environment agriculture. Jayasekara’s most cited paper, “Automated Crop Harvesting, Growth Monitoring and Disease Detection System for Vertical Farming Greenhouse” (2021, 11 citations), exemplifies his major contribution: developing a unified, automated framework that simultaneously handles harvesting, real-time growth tracking, and early disease identification. This system addresses the labor-intensive nature of vertical farming while improving crop yield and reducing losses. By combining sensor data with deep learning models, his research enables precise, data-driven decisions for greenhouse management. Though his citation count is still growing, the practical, applied nature of his work—bridging robotics, agronomy, and AI—positions him as an emerging voice in sustainable agriculture. His achievements highlight a commitment to scalable, tech-driven solutions that can transform food production in urban and resource-limited settings.
Research Focus
Key Achievements
Top Papers
- 1