Papers
1
Total Citations
82
H-Index
1
About
Bang Ji is a researcher whose work sits at the intersection of agricultural technology and computer vision, with a particular focus on intelligent fruit detection in natural environments. His most-cited paper, "Banana detection based on color and texture features in the natural environment" (2019, 82 citations), has become a foundational reference in the field of precision agriculture. In this work, Ji developed a robust detection method that leverages both color and texture features to accurately identify bananas under complex, real-world conditions—such as varying lighting, overlapping leaves, and occluded fruits. This contribution is critical for automating harvesting and yield estimation, addressing a key bottleneck in agricultural robotics. With over 80 citations, the paper demonstrates significant influence among peers working on crop detection and image processing. Ji’s research exemplifies how computer vision can be applied to solve practical agricultural challenges, bridging the gap between laboratory algorithms and field-ready systems. His work continues to inspire students and researchers interested in the intersection of machine learning, image analysis, and sustainable farming.
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Top Papers
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