Chun‐Chih Chang
Papers
1
Total Citations
11
H-Index
1
About
Chun-Chih Chang is a researcher whose work sits at the intersection of agricultural robotics and machine learning, with a particular focus on precision harvesting systems. His most notable contribution is the development of a segmentation algorithm for Hangzhou white chrysanthemums using least squares support vector machines (LS-SVM), a method designed to enable visual positioning for harvesting robots in natural, unstructured environments. By integrating bilateral filtering for noise reduction with LS-SVM for robust color-based segmentation, Chang addressed a critical challenge in agricultural automation: distinguishing target crops from complex backgrounds under varying light conditions. This work, published in 2019 and accumulating 11 citations, provides a foundational approach for improving the accuracy and reliability of robotic harvesters in floriculture. Chang’s research is significant for its practical application in reducing labor dependency and enhancing efficiency in specialty crop production. His contributions are particularly relevant for students and researchers exploring computer vision, precision agriculture, and the deployment of machine learning in real-world field conditions.
Research Focus
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Top Papers
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