Identification methods of crop and weeds based on Vis/NIR spectroscopy and RBF-NN model

Guang Pu Xue Yu Guang Pu Fen Xi/Spectroscopy and Spectral Analysis

Volumn 28, Issue 5, 2008, Pages 1102-1106

  Zhu, Deng Sheng ^a   Pan, Jia Zhi ^b   He, Yong ^b  

^a Jinhua College of Profession and Technology   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

RBF artificial neural network (ANN); Soybean; Vis NIR; Weed

Indexed keywords

AGRICULTURAL ENGINEERING; CROPS; FERTILIZERS; HERBICIDES; IDENTIFICATION (CONTROL SYSTEMS); NEAR INFRARED SPECTROSCOPY; NEURAL NETWORKS; PATTERN RECOGNITION; PLANTS (BOTANY); RADIAL BASIS FUNCTION NETWORKS; WAVELET TRANSFORMS;

ALLIGATOR ALTERNANTHERA; GREEN PLANT LEAVES; REFLECTANCE RATE; REFLECTANCE SPECTRAL; SOYBEAN; SURFACE TEXTURES;

WEED CONTROL;

AGRICULTURE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; CROP; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; SOYBEAN;

AGRICULTURE; CROPS, AGRICULTURAL; NEURAL NETWORKS (COMPUTER); SOYBEANS; SPECTROSCOPY, NEAR-INFRARED;

EID: 45449118984     PISSN: 10000593     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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