Papers
3
Total Citations
5
H-Index
2
About
Yohanssen Pratama is an emerging researcher at the intersection of precision agriculture and intelligent sensing systems. His work primarily focuses on developing autonomous farming robots that integrate computer vision and control algorithms to address real-world agricultural challenges. Pratama’s key contributions include the implementation of Convolutional Neural Networks (CNNs) for detecting broccoli plants, enabling robots to identify crops with greater accuracy. He has also advanced automated irrigation by designing a fuzzy logic-based watering system that monitors soil moisture and air temperature, reducing the need for manual labor and improving water efficiency. His most recent work explores material segmentation using 1-D CNNs and transient histograms from SPAD sensors, pushing toward more sophisticated surface classification in optical sensing. While his citation counts are currently modest—with papers accumulating 2 and 1 citations respectively—his research represents a practical, technology-driven approach to modernizing horticulture in Indonesia. Pratama’s contributions are particularly valuable for students and researchers interested in embedded AI, agricultural robotics, and sensor-based automation in developing economies.
Research Focus
Key Achievements
Top Papers
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