Filbert H. Juwono
Papers
1
Total Citations
57
H-Index
1
About
Filbert H. Juwono is a leading researcher at the forefront of intelligent agricultural systems, with a primary focus on the emerging paradigm of Agriculture 5.0. His work masterfully bridges the gap between advanced artificial intelligence and practical farming needs, particularly through the application of machine learning for precision agriculture. Dr. Juwono’s most cited work, a comprehensive 2023 review on machine learning for weed–plant discrimination, has already garnered 57 citations, establishing him as a key voice in the field. This seminal paper critically examines how sensors, IoT, big data, and AI—the core pillars of Agriculture 5.0—can be harnessed to differentiate crops from weeds with unprecedented accuracy, moving beyond the data-driven focus of Agriculture 4.0 to a truly autonomous, robot-centric future. His contributions are not merely theoretical; they provide a foundational roadmap for developing intelligent, robotic systems that can reduce herbicide use and enhance crop yields. Through his insightful analyses, Dr. Juwono is shaping the next generation of sustainable, technology-driven farming, making him an essential figure for any student or researcher interested in the future of food production.
Research Focus
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Top Papers
- 1