Papers
30
Total Citations
2,479
H-Index
16
About
Inkyu Sa is a pioneering robotics and artificial intelligence researcher whose work sits at the intersection of agricultural automation, autonomous systems, and deep learning. Best known for his landmark 2016 paper *DeepFruits* — which has accumulated over 1,079 citations — Sa helped establish deep convolutional neural networks as a transformative tool for fruit detection in precision agriculture, laying foundational groundwork for autonomous harvesting robots. His research spans crop detection and robotic harvesting, most notably with the sweet pepper harvesting robot "Harvey," alongside large-scale weed mapping using aerial multispectral imaging and semantic segmentation. Sa's contributions extend beyond agriculture into broader autonomous systems, including UAV-based terrain monitoring, informative path planning, and subterranean exploration through Team CSIRO Data61's entry into the DARPA Subterranean Challenge. His collaborative work on integrated aerial-ground robotic platforms further demonstrates his systems-level thinking in deploying robots in complex, real-world environments. With a publication record spanning field robotics, computer vision, and machine learning, Sa's research has collectively amassed thousands of citations, cementing his reputation as a key figure advancing intelligent, autonomous solutions for agriculture and beyond.
Research Focus
Key Achievements
Top Papers
- 1DeepFruits: A Fruit Detection System Using Deep Neural Networks1,079 citations · 2016
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- 3An informative path planning framework for UAV-based terrain monitoring161 citations · 2020
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- 7Sweet pepper pose detection and grasping for automated crop harvesting91 citations · 2016
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- 9Visual detection of occluded crop: For automated harvesting80 citations · 2016
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