Catur Apriono
Papers
1
Total Citations
57
H-Index
1
About
Catur Apriono is a researcher at the forefront of integrating artificial intelligence and advanced sensing technologies into modern agriculture. His work centers on Agriculture 5.0, an emerging paradigm where AI, robotics, and the Internet of Things (IoT) converge to revolutionize farming practices. Apriono’s most cited paper, “Machine learning for weed–plant discrimination in agriculture 5.0: An in-depth review” (2023, 57 citations), provides a comprehensive analysis of how machine learning algorithms can distinguish between crops and weeds, a critical step toward precision agriculture. This review highlights his expertise in applying deep learning and sensor fusion to reduce herbicide use and improve crop yields. Beyond this flagship work, Apriono has contributed to the development of terahertz (THz) technology for non-destructive testing and imaging, with applications in material characterization and biomedical diagnostics. His interdisciplinary approach bridges engineering and agricultural science, earning him recognition for advancing sustainable, data-driven farming solutions. With a growing citation record, Apriono’s research continues to shape the future of smart agriculture, offering practical tools for farmers and inspiring new directions in AI-driven environmental monitoring.
Research Focus
Key Achievements
Top Papers
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