Weed Detection Using Deep Learning: A Systematic Literature Review
Weed Detection Using Deep Learning: A Systematic Literature Review
About this item
Full title
Author / Creator
Publisher
Switzerland: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Switzerland: MDPI AG
Subjects
More information
Scope and Contents
Contents
Weeds are one of the most harmful agricultural pests that have a significant impact on crops. Weeds are responsible for higher production costs due to crop waste and have a significant impact on the global agricultural economy. The importance of this problem has promoted the research community in exploring the use of technology to support farmers i...
Alternative Titles
Full title
Weed Detection Using Deep Learning: A Systematic Literature Review
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_37b2c56e55f24e36adfb761d3c1c8ac9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_37b2c56e55f24e36adfb761d3c1c8ac9
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23073670
