Deep learning models for plant disease detection and diagnosis

Computers and Electronics in Agriculture

Volumn 145, Issue , 2018, Pages 311-318

  Ferentinos, Konstantinos P ^a  

^a INSTITUTE OF TECHNOLOGY OF AGRICULTURAL PRODUCTS   (Greece)

Author keywords

Artificial intelligence; Convolutional neural networks; Machine learning; Pattern recognition; Plant disease identification

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONVOLUTION; CULTIVATION; DIAGNOSIS; LEARNING SYSTEMS; NEURAL NETWORKS; PATTERN RECOGNITION; PLANTS (BOTANY);

CONVOLUTIONAL NEURAL NETWORK; CULTIVATION CONDITIONS; EARLY WARNING; INTEGRATED PLANTS; LEARNING MODELS; MODEL ARCHITECTURE; PLANT DISEASE;

DEEP LEARNING;

ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; DATABASE; DETECTION METHOD; DISEASE; EARLY WARNING SYSTEM; IDENTIFICATION METHOD; INTEGRATED APPROACH; MACHINE LEARNING; METHODOLOGY; NUMERICAL MODEL; PATTERN RECOGNITION; PLANT;

EID: 85041363919     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2018.01.009     Document Type: Article

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