Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 용환승 | * |
dc.date.accessioned | 2022-02-22T16:31:10Z | - |
dc.date.available | 2022-02-22T16:31:10Z | - |
dc.date.issued | 2021 | * |
dc.identifier.issn | 2076-3417 | * |
dc.identifier.other | OAK-30726 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/260635 | - |
dc.description.abstract | Mango fruit is in high demand. So, the timely control of mango plant diseases is necessary to gain high returns. Automated recognition of mango plant leaf diseases is still a challenge as manual disease detection is not a feasible choice in this computerized era due to its high cost and the non-availability of mango experts and the variations in the symptoms. Amongst all the challenges, the segmentation of diseased parts is a big issue, being the pre-requisite for correct recognition and identification. For this purpose, a novel segmentation approach is proposed in this study to segment the diseased part by considering the vein pattern of the leaf. This leaf vein-seg approach segments the vein pattern of the leaf. Afterward, features are extracted and fused using canonical correlation analysis (CCA)-based fusion. As a final identification step, a cubic support vector machine (SVM) is implemented to validate the results. The highest accuracy achieved by this proposed model is 95.5%, which proves that the proposed model is very helpful to mango plant growers for the timely recognition and identification of diseases. | * |
dc.language | English | * |
dc.publisher | MDPI | * |
dc.subject | mango leaf | * |
dc.subject | CCA | * |
dc.subject | vein pattern | * |
dc.subject | leaf disease | * |
dc.subject | cubic SVM | * |
dc.title | Mango Leaf Disease Recognition and Classification Using Novel Segmentation and Vein Pattern Technique | * |
dc.type | Article | * |
dc.relation.issue | 24 | * |
dc.relation.volume | 11 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.journaltitle | APPLIED SCIENCES-BASEL | * |
dc.identifier.doi | 10.3390/app112411901 | * |
dc.identifier.wosid | WOS:000735791400001 | * |
dc.identifier.scopusid | 2-s2.0-85121209715 | * |
dc.author.google | Saleem, Rabia | * |
dc.author.google | Shah, Jamal Hussain | * |
dc.author.google | Sharif, Muhammad | * |
dc.author.google | Yasmin, Mussarat | * |
dc.author.google | Yong, Hwan-Seung | * |
dc.author.google | Cha, Jaehyuk | * |
dc.contributor.scopusid | 용환승(7101899751) | * |
dc.date.modifydate | 20240322133226 | * |