Mamiek Sriatun
Papers
1
Total Citations
2
H-Index
1
About
Mamiek Sriatun is a researcher whose work lies at the intersection of computational optimization and agricultural technology, with a particular focus on multi-agent systems. Her key research areas include swarm intelligence, task allocation algorithms, and the application of nature-inspired computing to real-world agricultural challenges. Her most notable contribution is the modification of the Ant Colony Optimization (ACO) algorithm to solve the complex problem of multi-agent task allocation in agricultural settings. Specifically, her 2023 study addresses the challenge of forming optimal coalitions of UAVs (unmanned aerial vehicles) to complete on-farm tasks efficiently. By adapting the basic ACO framework, Sriatun’s work provides a novel approach to coordinating multiple agents in dynamic environments, a critical step toward precision agriculture and automated farming. Although early in its citation impact, this foundational paper has already garnered attention for its practical relevance. Sriatun’s research bridges the gap between theoretical optimization and applied agricultural robotics, offering scalable solutions for task distribution among autonomous systems. Her work is particularly valuable for students and researchers interested in the intersection of artificial intelligence, operations research, and sustainable farming technologies.
Research Focus
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Top Papers
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