Automated Wheat Diseases Classification Framework Using Advanced Machine Learning Technique
Automated Wheat Diseases Classification Framework Using Advanced Machine Learning Technique
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Around the world, agriculture is one of the important sectors of human life in terms of food, business, and employment opportunities. In the farming field, wheat is the most farmed crop but every year, its ultimate production is badly influenced by various diseases. On the other hand, early and precise recognition of wheat plant diseases can decrea...
Alternative Titles
Full title
Automated Wheat Diseases Classification Framework Using Advanced Machine Learning Technique
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_4d24ba73b62d4b77874ca6b7bca36f67
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4d24ba73b62d4b77874ca6b7bca36f67
Other Identifiers
ISSN
2077-0472
E-ISSN
2077-0472
DOI
10.3390/agriculture12081226
