Neural image analysis for maturity classification of sewage sludge composted with maize straw

Computers and Electronics in Agriculture

Volumn 109, Issue , 2014, Pages 302-310

  Kujawa, Sebastian ^a   Nowakowski, Krzysztof ^a   Tomczak, Robert Jacek ^b   Dach, Jacek ^a   Boniecki, Piotr ^a   Weres, Jerzy ^a   Mueller, Wojciech ^a   Raba, Barbara ^a   Piechota, Tomasz ^a   Rodríguez Carmona, Pablo César ^a  

^a POZNA UNIVERSITY OF LIFE SCIENCES   (Poland)

^b Department of Computer Science and Visual Communication School of Humanities and Journalism in Poznan   (Poland)

Author keywords

Compost maturity; Image analysis; Maize straw; Neural networks; Sewage sludge

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPOSTING; IMAGE ACQUISITION; ITERATIVE METHODS; LIGHT; NEURAL NETWORKS; SENSITIVITY ANALYSIS; SEWAGE SLUDGE; TEXTURES;

CLASSIFICATION MODELS; COMPOST MATURITY; COMPUTER IMAGE ANALYSIS; CONTROLLED LABORATORIES; GREY-LEVEL CO-OCCURRENCE MATRIXES; MAIZE STRAW; MLP (MULTILAYER PERCEPTRON); NEURAL CLASSIFICATION;

IMAGE ANALYSIS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; BIOREACTOR; IMAGE ANALYSIS; IMAGE CLASSIFICATION; MAIZE; SAMPLING; SEWAGE; STRAW;

SIMPLEXVIRUS; ZEA MAYS;

EID: 84930677647     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2014.08.014     Document Type: Article

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