Application of artificial neural network for detecting Phalaenopsis seedling diseases using color and texture features

Computers and Electronics in Agriculture

Volumn 57, Issue 1, 2007, Pages 3-11

  Huang, Kuo Yi ^a  

^a HUAFAN UNIVERSITY   (Taiwan)

Author keywords

Color features; Image processing; Neural network; Phalaenopsis seedling diseases; Texture features; The adjustable exponential transform (AET)

Indexed keywords

DISEASES; IMAGE PROCESSING; SEED;

ADJUSTABLE EXPONENTIAL TRANSFORM (AET); COLOR FEATURES; PHALAENOPSIS SEEDLING DISEASES; TEXTURE FEATURES;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BACTERIAL DISEASE; CLASSIFICATION; COLOR; DETECTION METHOD; HERB; IMAGE PROCESSING; LESION; PERENNIAL PLANT; SEEDLING; TEXTURE; TRANSFORM;

DISEASES; IMAGE ANALYSIS; NEURAL NETWORKS; SEEDS;

BACTERIA (MICROORGANISMS); PHALAENOPSIS; PHYTOPHTHORA; PUNCTUM BLANDIANUM;

EID: 33947614142     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2007.01.015     Document Type: Article

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