• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Scientific & Technology Research >Logistics In Agri Supply Chain Through ID3 Decision Tree Algorithm In Krishnagiri District, Tamil Nadu, India.
【24h】

Logistics In Agri Supply Chain Through ID3 Decision Tree Algorithm In Krishnagiri District, Tamil Nadu, India.

机译：通过ID3决策树算法在印度泰米尔纳德邦Krishnagiri区的农业供应链中实现物流。

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The main purpose of this paper is to identify the supply chain and the logistics problem in the agricultural industry. Different products and its issues to be identified and to be sorted out in the agricultural industry and to suggest the manufacturers and the government for the better growth of Indian economy and its future growth in terms of export, technology etc,. Design/methodology/approach : Descriptive method was used in the form of interview schedule method to collect the data from the transporters, manufacturers, suppliers, retailers. ID3 decision tree algorithm was used in this paper to identify the major problem in the logistics of agri-based products. Findings : In both the floriculture and horticulture industry the major problem is the technology with the lowest harvest with the high cost. The low harvest because of not having the skilled labours and the facilities like space etc,. And the high cost is because the facilities and the number of machineries available in the district other state or the country is very low. Choosing the right logistics with the advanced technology helps both the transporters retailers and the facilitator work easier with the better income. Originality/value: ID3 decision tree algorithm is used identify the problems in both floriculture and horticulture industry in the Krishnagiri district, Tamil Nadu and its logistical activities in the supply chain.
机译：本文的主要目的是确定农业中的供应链和物流问题。在农业行业中将要识别和分类的不同产品及其问题，并向制造商和政府建议印度经济的更好增长及其在出口，技术等方面的未来增长。设计/方法/方法：描述方法以访谈计划表的形式使用，以从运输商，制造商，供应商，零售商处收集数据。本文使用ID3决策树算法来识别农产品物流中的主要问题。调查结果：在花卉和园艺行业中，主要问题是收成最低，成本高的技术​​。由于缺乏熟练的劳动力和诸如空间等设施，收成低。而高昂的成本是因为其他州或国家/地区的设施和可用的机器数量很少。使用先进的技术选择合适的物流有助于运输商零售商和协调员更轻松地工作，并获得更高的收入。原创性/价值：ID3决策树算法用于识别泰米尔纳德邦Krishnagiri地区的花卉和园艺行业中的问题及其在供应链中的物流活动。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号