Smartphone-based hierarchical crowdsourcing for weed identification

Computers and Electronics in Agriculture

Volumn 113, Issue , 2015, Pages 14-23

  Rahman, Mahbubur ^a   Blackwell, Brenna ^b   Banerjee, Nilanjan ^a   Saraswat, Dharmendra ^c  

^a University of Marylandw Baltimore County   (United States)

^b UNIVERSITY OF ARKANSAS   (United States)

^c University of Arkansas Fayetteville   (United States)

Author keywords

Amazon Mechanical Turk; Human crowd; Probabilistic framework; Weed image identification

Indexed keywords

AGRICULTURE; APPLICATION PROGRAMS; BUDGET CONTROL; CULTIVATION; HIERARCHICAL SYSTEMS; IMAGE PROCESSING; SIGNAL ENCODING; SMARTPHONES;

AGRICULTURAL RESEARCH; AMAZON MECHANICAL TURKS; HUMAN CROWD; IMAGE IDENTIFICATION; IMAGE PROCESSING ALGORITHM; PROBABILISTIC DECISIONS; PROBABILISTIC FRAMEWORK; SMART-PHONE APPLICATIONS;

WEED CONTROL;

AGRICULTURAL RESEARCH; ALGORITHM; COMMUNICATION NETWORK; CROP PRODUCTION; DECISION SUPPORT SYSTEM; ECONOMIC POLICY; HIERARCHICAL SYSTEM; SOFTWARE; WEED CONTROL;

EID: 84922388199     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2014.12.012     Document Type: Article

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