Brinjal Identification and Classification Using Multiclass Support Vector Machine Algorithm.
Brinjal is the most popular tropical vegetable in agriculture. It is an essential process We would like to encourage for separating various types of brinjals. Since it is grown in large quantities which varies in size, form and color. In countries such as U.S.A, Asian and many African countries this...
| Publicado en: | Proteus Vol. 13; no. 8; pp. 6 - 11 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Proteus
Aug2022
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=159251099&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 159251099 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 08896348 THQ jtl: Proteus issn: 08896348 maglogo: N pubinfo: dt: Aug2022 vid: 13 iid: 8 pid: 73634 pub: Proteus artinfo: ui: 159251099 ppf: 6 ppct: 5 formats: fmt: @attributes: type: P size: 441KB tig: atl: Brinjal Identification and Classification Using Multiclass Support Vector Machine Algorithm. aug: au: Reka R., Anitha affil: P.G. Student, Department of Communication Engineering, Agni College of Technology, Chennai Head of the Department, Department of ECE, Agni College of Technology, Chennai, India su: Eggplant Support vector machines Farmers' attitudes Feature extraction Algorithms Image processing sug: subj: Other Vegetable (except Potato) and Melon Farming Other Food Crops Grown Under Cover Photofinishing Laboratories (except One-Hour) One-Hour Photofinishing Eggplant Support vector machines Farmers' attitudes Feature extraction Algorithms Image processing keyword: Brinjal Classification Gray-level-co-occurrence matrices (GLCM) Multi class Support vector machine (MLSVM) Brinjal Classification Gray-level-co-occurrence matrices (GLCM) Multi class Support vector machine (MLSVM) ab: Brinjal is the most popular tropical vegetable in agriculture. It is an essential process We would like to encourage for separating various types of brinjals. Since it is grown in large quantities which varies in size, form and color. In countries such as U.S.A, Asian and many African countries this is the major vegetable crop. Estimation of brinjal cultivation is projected to be 32 million tons worldwide. Farmer's most popular approach for identifying the form of brinjal is to examine the plant or vegetable with their previous experience with plant development. To classify and recognize the brinjal types, the GLCM feature extraction technique is used with MSVM classifier. The most important factor in the production of automated brinjal sorting machines is to minimize the human labor and save time. This algorithm aids in improving the classification accuracy and performance. It is necessary to utilize the most advanced image processing technique to classify the brinjals. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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