Daffa Rangga Putra
Papers
1
Total Citations
2
H-Index
1
About
Daffa Rangga Putra is an emerging researcher in the field of multi-agent systems and optimization algorithms, with a particular focus on agricultural applications. His work centers on developing and refining computational methods to solve complex task allocation problems, especially those involving unmanned aerial vehicles (UAVs) in precision farming. His most cited paper, "Modification of the Ant Colony Optimization Algorithm for Solving Multi-Agent Task Allocation Problem in Agricultural Application" (2023), addresses the critical challenge of forming optimal coalitions of UAVs to complete on-farm tasks efficiently. By adapting the Ant Colony Optimization (ACO) algorithm, Putra demonstrates how bio-inspired computing can enhance coordination among autonomous agents, improving both speed and resource utilization in agricultural operations. Though early in his career, his work has already garnered attention, with his research contributing to the growing intersection of swarm intelligence and smart agriculture. Putra’s contributions are particularly valuable for students and researchers interested in real-world applications of multi-agent systems, offering a practical pathway from theoretical optimization to tangible solutions in food production and environmental monitoring.
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Top Papers
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