Eko Prasetyo

Papers

Total Citations

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About

Eko Prasetyo is a researcher at the forefront of intelligent robotics and precision agriculture, specializing in the application of deep learning and computer vision to autonomous systems. His work bridges the gap between artificial intelligence and real-world automation, with a particular focus on developing machines that can perceive and interact with their environment. Prasetyo’s most influential contribution, "Spatial Based Deep Learning Autonomous Wheel Robot Using CNN" (2020), has garnered 9 citations and laid the groundwork for integrating convolutional neural networks into mobile robotics, enabling robots to make independent navigational decisions. Building on this foundation, his more recent work, "Fine-Tuned RetinaNet for Real-Time Lettuce Detection" (2024), addresses the pressing need for efficient agricultural automation, achieving 3 citations in a short time by demonstrating how fine-tuned object detection models can revolutionize crop harvesting. By tackling challenges from autonomous wheeled robots to precision farming, Prasetyo is shaping the future of intelligent automation, offering scalable solutions that reduce reliance on manual labor while enhancing productivity in both industrial and agricultural settings.