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Advisor(s)
Abstract(s)
A weed plant can be described as a plant that is unwanted at a specific location at a given time. Farmers have fought against the weed populations for as long as land has been used for food production. In conventional agriculture this weed control contributes a considerable amount to the overall cost of the produce. Automatic weed detection is one of the viable solutions for efficient reduction or exclusion of chemicals in crop production. Research studies have been focusing and combining modern approaches and proposed techniques which automatically analyze and evaluate segmented weed images. This study discusses and compares the weed control methods and gives special attention in describing the current research in automating the weed detection and control.
Description
Keywords
Detection Weed Agriculture 4.0 Computational vision Robotics
Citation
Saraswathi Shanmugam, Eduardo Assunção, Ricardo Mesquita, André Veiros, and Pedro D. Gaspar, (2020), “Automated Weed Detection Systems: A Review” in International Congress on Engineering — Engineering for Evolution, KnE Engineering, pages 271–284. DOI 10.18502/keg.v5i6.7046
Publisher
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