An Approach for Rice Bacterial Leaf Streak Disease Segmentation and Disease Severity Estimation
An Approach for Rice Bacterial Leaf Streak Disease Segmentation and Disease Severity Estimation
About this item
Full title
Author / Creator
Chen, Shuo , Zhang, Kefei , Zhao, Yindi , Sun, Yaqin , Ban, Wei , Chen, Yu , Zhuang, Huifu , Zhang, Xuewei , Liu, Jinxiang and Yang, Tao
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Rice bacterial leaf streak (BLS) is a serious disease in rice leaves and can seriously affect the quality and quantity of rice growth. Automatic estimation of disease severity is a crucial requirement in agricultural production. To address this, a new method (termed BLSNet) was proposed for rice and BLS leaf lesion recognition and segmentation base...
Alternative Titles
Full title
An Approach for Rice Bacterial Leaf Streak Disease Segmentation and Disease Severity Estimation
Authors, Artists and Contributors
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_3ad6155ea19642a8acb55782c4fd5c44
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3ad6155ea19642a8acb55782c4fd5c44
Other Identifiers
ISSN
2077-0472
E-ISSN
2077-0472
DOI
10.3390/agriculture11050420
