Apple recognition based on K-means and GA-RBF-LMS neural network applicated in harvesting robot

Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering

Volumn 31, Issue 18, 2015, Pages 175-183

  Jia, Weikuan ^a,b   Zhao, Dean ^a,b   Liu, Xiaoyang ^a   Tang, Shuping ^a   Ruan, Chengzhi ^a,c   Ji, Wei ^a,b  

^a JIANGSU UNIVERSITY   (China)

^b Key Laboratory of Modern Agricultural Equipment and Technology   (China)

^c WUYI UNIVERSITY   (China)

Author keywords

Algorithms; Apple harvesting robot; Feature extraction; GA RBF neural network; Identification; Image processing; K means segmentation

Indexed keywords

ALGORITHMS; BACKPROPAGATION; COLOR; COLOR IMAGE PROCESSING; EFFICIENCY; FEATURE EXTRACTION; FRUITS; GENETIC ALGORITHMS; HARVESTING; IDENTIFICATION (CONTROL SYSTEMS); IMAGE PROCESSING; IMAGE SEGMENTATION; K-MEANS CLUSTERING; MULTILAYER NEURAL NETWORKS; ROBOTS; SAMPLING;

HARVESTING ROBOT; HIDDEN LAYER NEURONS; HU INVARIANT MOMENTS; K-MEANS SEGMENTATIONS; LEAST MEAN SQUARE (LMS); OPERATING EFFICIENCY; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK;

RADIAL BASIS FUNCTION NETWORKS;

EID: 84944596172     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.11975/j.issn.1002-6819.2015.18.025     Document Type: Article

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