Fast and accurate crop and weed identification with summarized train sets for precision agriculture

Advances in Intelligent Systems and Computing

Volumn 531, Issue , 2017, Pages 105-121

  Potena, Ciro ^a   Nardi, Daniele ^a   Pretto, Alberto ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

Agriculture robotics; Classification; Convolutional neural networks; Segmentation

Indexed keywords

AGRICULTURE; BINARY IMAGES; CLASSIFICATION (OF INFORMATION); CONVOLUTION; CROPS; IMAGE SEGMENTATION; INTELLIGENT VEHICLE HIGHWAY SYSTEMS; NEURAL NETWORKS; PIXELS; ROBOTICS;

CLASSIFICATION PERFORMANCE; CLASSIFICATION TASKS; CONVOLUTIONAL NEURAL NETWORK; MULTI-SPECTRAL CAMERAS; PERCEPTION SYSTEMS; PRECISION AGRICULTURE; UNMANNED GROUND VEHICLES; WEED IDENTIFICATION;

IMAGE PROCESSING;

EID: 85013127753     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-48036-7_9     Document Type: Conference Paper

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