Sandunika Fernando

Sri Lanka Institute of Information Technology

Papers

Total Citations

H-Index

About

Sandunika Fernando is a researcher at the forefront of agricultural technology, specializing in the integration of artificial intelligence and robotics for precision farming. Her work centers on developing intelligent systems to enhance greenhouse agriculture, addressing critical challenges in crop production and plant health. Fernando’s major contributions include the creation of an AI-based greenhouse farming support system that combines robotic monitoring with machine learning to optimize growing conditions. She has also pioneered an intelligent disease detection system that uses robotic surveillance to identify plant diseases early, a breakthrough that tackles the significant yield losses caused by disease outbreaks in controlled environments. Her most-cited papers, including “AI Based Greenhouse Farming Support System with Robotic Monitoring” (13 citations) and “Intelligent Disease Detection System for Greenhouse with a Robotic Monitoring System” (11 citations), demonstrate the growing recognition of her work in the agricultural tech community. By merging robotics with data-driven diagnostics, Fernando is helping farmers achieve more sustainable and efficient food production, positioning her as an emerging leader in the field of smart agriculture.