Ashen Silva

Sri Lanka Institute of Information Technology

Papers

Total Citations

H-Index

About

Ashen Silva is a pioneering researcher at the intersection of artificial intelligence and precision agriculture, with a focused expertise in developing intelligent systems for controlled-environment farming. His major contributions center on integrating robotic monitoring with AI-driven analytics to optimize greenhouse operations and address critical challenges in crop management. Silva’s most influential work, the "AI Based Greenhouse Farming Support System with Robotic Monitoring" (2020, 13 citations), introduced a novel framework that combines autonomous robotic surveillance with machine learning algorithms to regulate climatic conditions and enhance crop yields. Building on this foundation, his "Intelligent Disease Detection System for Greenhouse with a Robotic Monitoring System" (2020, 11 citations) tackled the pressing issue of plant disease outbreaks—a primary cause of reduced greenhouse productivity. By enabling early, automated detection of pathogens, this system empowers farmers to intervene proactively, minimizing crop loss and reducing reliance on manual inspection. Together, these highly cited papers establish Silva as a key innovator in smart agriculture, demonstrating how robotics and AI can transform traditional farming into a data-driven, resilient practice. His work is particularly notable for its direct applicability to real-world agricultural challenges, offering scalable solutions that promise to enhance food security and sustainability in an era of climate uncertainty.