Sara Silva

University of Lisbon, Sri Lanka Institute of Information Technology

Papers

Total Citations

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About

Sara Silva is a researcher whose work bridges evolutionary computation and precision agriculture. Her primary research areas include genetic programming, novelty search algorithms, and IoT-based environmental monitoring systems. Silva made a notable contribution to evolutionary computation with her 2016 paper "Evolving genetic programming classifiers with novelty search," which has accumulated 12 citations and explores how novelty-driven search can improve classifier performance in genetic programming—a key advancement in avoiding premature convergence. More recently, she has applied her technical expertise to agricultural technology, co-authoring the 2023 paper "IoT based Plant Growth and Health Monitoring System for Mushrooms," which has already garnered 5 citations. This work proposes an innovative IoT-driven robot camera system for mushroom cultivation in Sri Lanka, addressing harvest time prediction, disease detection, quality assurance, and environmental monitoring. By integrating robotics and sensor networks into controlled-environment agriculture, Silva demonstrates a commitment to solving real-world problems through computational intelligence. Her trajectory from theoretical evolutionary algorithms to applied IoT solutions highlights a versatile researcher capable of translating complex computational concepts into practical, impactful technologies for sustainable farming.