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Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
Published on: February 9, 2024
He Xu1,2, Ye Ding3,4, Peng Li5,6
1School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China. xuhe@njupt.edu.cn.
This study introduces a novel Bayesian probability and K-Nearest Neighbor (BKNN) algorithm for accurate indoor positioning using Radio Frequency Identification (RFID). The BKNN method significantly reduces location errors caused by environmental interference, achieving an average error of just 15 cm.
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