E-Commerce Application for Farm Fresh Trading

Kaviya V. G, Gini R
{"title":"E-Commerce Application for Farm Fresh Trading","authors":"Kaviya V. G, Gini R","doi":"10.59544/raqq9272/ngcesi23p56","DOIUrl":null,"url":null,"abstract":"For several years, farmers in India have had little liberty in choosing markets and purchasers for their produce. All states in the country, except three, degree that marketing and selling of farm produce must be directed through state-owned mandis, retail markets where mediators (middlemen) crush farmers to increase margins. According to research, mediators have become dominating buyers of the agricultural market, resulting them to take control over the plight of the farmers and gulping all the profits. The farmers work day and night expecting a good yield. They use a lot of financial resources lending money and buying fertilizers, seeds etc. So, they have the right to enjoy every rupee gained on their corp. In this context, we propose a system which brings farmers close to the retailers cutting the middlemen. Our system consists of a mobile or web application which will serve as a platform for farmer the growers and retailers or customers to sell and buy their farm products. This system aims at giving a profitable price to farmers to their farm products cutting the middlemen. This allows the retailers or the customers to buy products from the farmers at a lower than the normal price. Farmer uploads their product with details and buyers view these details and book that product with in a time. The bidding system is suitable for bulk buyers who would like to bargain for a certain product. They will be able to bid on a product as well as view other bids. This will help them get products at a better price. The consumer can give a rating and review only after having purchased a particular product. K-Nearest Neighbours (KNN) is proposed to recommendation system based on common product ratings, and make predictions using the average rating of top-k nearest neighbours. These are visible on each item’s page along with the average of the item’s average rating. K-Means is used to overcome sparsity problems and to form user clusters to reduce the amount of data that needs to be processed.","PeriodicalId":315694,"journal":{"name":"The International Conference on scientific innovations in Science, Technology, and Management","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Conference on scientific innovations in Science, Technology, and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59544/raqq9272/ngcesi23p56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

For several years, farmers in India have had little liberty in choosing markets and purchasers for their produce. All states in the country, except three, degree that marketing and selling of farm produce must be directed through state-owned mandis, retail markets where mediators (middlemen) crush farmers to increase margins. According to research, mediators have become dominating buyers of the agricultural market, resulting them to take control over the plight of the farmers and gulping all the profits. The farmers work day and night expecting a good yield. They use a lot of financial resources lending money and buying fertilizers, seeds etc. So, they have the right to enjoy every rupee gained on their corp. In this context, we propose a system which brings farmers close to the retailers cutting the middlemen. Our system consists of a mobile or web application which will serve as a platform for farmer the growers and retailers or customers to sell and buy their farm products. This system aims at giving a profitable price to farmers to their farm products cutting the middlemen. This allows the retailers or the customers to buy products from the farmers at a lower than the normal price. Farmer uploads their product with details and buyers view these details and book that product with in a time. The bidding system is suitable for bulk buyers who would like to bargain for a certain product. They will be able to bid on a product as well as view other bids. This will help them get products at a better price. The consumer can give a rating and review only after having purchased a particular product. K-Nearest Neighbours (KNN) is proposed to recommendation system based on common product ratings, and make predictions using the average rating of top-k nearest neighbours. These are visible on each item’s page along with the average of the item’s average rating. K-Means is used to overcome sparsity problems and to form user clusters to reduce the amount of data that needs to be processed.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
农产品生鲜交易电子商务应用
几年来,印度农民在选择市场和购买农产品方面几乎没有自由。除了三个邦之外,印度所有邦都规定农产品的营销和销售必须通过国有的批发市场进行,在零售市场中,中间商(中间商)压榨农民以增加利润。据研究,中庸已经成为农业市场的主要买家,导致他们控制了农民的困境,并吞噬了所有的利润。农民们日以继夜地工作,期望获得好收成。他们使用大量的金融资源贷款和购买化肥、种子等。因此,他们有权享受从他们的公司获得的每一卢比。在这种情况下,我们提出了一个使农民接近零售商的系统,减少了中间商。我们的系统包括一个移动或网络应用程序,它将作为一个平台,为农民、种植者和零售商或客户出售和购买他们的农产品。这一制度的目的是为农民的农产品提供一个有利可图的价格,从而减少中间商。这使得零售商或顾客可以以低于正常价格从农民那里购买产品。农民上传他们的产品和详细信息,买家查看这些详细信息,并在一段时间内预订该产品。招标制度适用于大宗买家想要讨价还价的某一产品。他们将能够投标的产品,以及查看其他出价。这将帮助他们以更好的价格获得产品。消费者只有在购买了特定的产品后才能给出评级和评论。将k近邻(KNN)算法引入到基于常见产品评级的推荐系统中,并利用前k个近邻的平均评级进行预测。这些都可以在每个项目的页面上看到,以及项目的平均评级的平均值。K-Means用于克服稀疏性问题,并形成用户集群,以减少需要处理的数据量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Automated Tongue Diagnosis: A Deep Autoencoder Neural Network and Clustering-Based Image Segmentation Approach A study on Organizational Culture and its Impact on Employees Behaviour with special reference to TTK Prestige Ltd, Coimbatore A Study on Effectiveness of Performance Appraisal System With Reference To Santhigiri Ashram, Trivandrum Early Stage Diabetes Prediction of Patients in Big Data Healthcare Using Sophisticated Machine Learning Approach A Study on Effectiveness of Motivational on Employee with Special Reference to Shiash Info Solutions Pvt Ltd, Chennai.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1