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A novel method for detecting morphologically similar crops and weeds based on the combination of contour masks and filtered Local Binary Pattern operators
Author(s) -
Vi Nguyen Thanh Le,
Selam Ahderom,
Beniamin Apopei,
Kamal Alameh
Publication year - 2020
Publication title -
gigascience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.947
H-Index - 54
ISSN - 2047-217X
DOI - 10.1093/gigascience/giaa017
Subject(s) - binary number , pattern recognition (psychology) , computer science , local binary patterns , artificial intelligence , biological system , biology , mathematics , histogram , image (mathematics) , arithmetic
Weeds are a major cause of low agricultural productivity. Some weeds have morphological features similar to crops, making them difficult to discriminate.

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