Prediction of Sulfur Content in Copra Using Machine Learning Algorithm

Sagayaraj A. S.; Devi T. K.; Umadevi S.

首页> 外文期刊>Applied artificial intelligence >Prediction of Sulfur Content in Copra Using Machine Learning Algorithm

【24h】

Prediction of Sulfur Content in Copra Using Machine Learning Algorithm

机译：Prediction of Sulfur Content in Copra Using Machine Learning Algorithm

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

Coconut copra is the white stout inside a coconut. Besides coconut oil, coconut copra has become a trendy snack and ingredient in cooking, owing to its numerous health merits. A good quality coconut without any infections is maintained by the farmers by employing the procedure of sulfur fumigation over the coconuts. The usage of sulfur is poisonous, and the pollution caused by burning of sulfur is toxic. This sulfur addition creates breathing, skin problems for the consumers. The proposed method is intended to make sure the availability of good quality coconut in the market by assessing the quality of each individual sample going into the production line. The sulfur content in the copra is predicted by the feed-forward machine learning technique. The features of dissimilar kinds of copra are examined and are used to train the machine model. Simulation of the proposed work is carried with MATLAB. From the validation and testing, it is found that 70% of the samples are trained; among them; 15% are validated and 15% are tested. Results indicate that 96.5% accuracy is obtained from the validation.

著录项

来源
《Applied artificial intelligence》 |2021年第15期|2228-2245|共18页
作者
Sagayaraj A. S.; Devi T. K.; Umadevi S.;
展开▼
作者单位

Bannari Amman Inst Technol, Dept ECE, Sathyamangalam, India;

Kongu Engn Coll, Dept EIE, Erode, India;

VIT Univ, Ctr Nano Elect & VLSI Design, Dept Ece, Chennai, Tamil Nadu, India;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词

Prediction of Sulfur Content in Copra Using Machine Learning Algorithm

摘要

著录项

相关主题

期刊订阅