{"title":"Cloud Powered Plant Image Warehouse","authors":"V.V. Sumanth Kumar, Y. Praneetha, B. Padmaja, Lakshmana Murthy G","doi":"10.13005/ojcst13.01.04","DOIUrl":null,"url":null,"abstract":"Cloud powered plant image warehouse serves as an instrumental solution for various scientific and academic personnel involved in research, education and extension at NARES (National Agricultural Research and Education System), through providing a common image dataset that complements for efficient and more productive activities by saving them time, space, hassle and financial resources. This web based image repository enables the entire scientific community to access the freely available resources contributed by the fellow researchers who worked on common areas of interest, besides facilitating to acknowledge the one who originally contributed. This also enables them to have better control and use of meta data with tagging and custom theme usage. The Plant image warehouse has been developed by using XAMPP an open source platform, which works on the Cent OS, using Apache Web server and MySQL a relational web based data management system and PHP, the object oriented scripting language. The third party software used in developing this image warehousing database is ZenPHOTO, a configurable software system wherein the users are able to upload, search and share the images. The graphical user interface is restricted to static webpages where, upon request from the user, server sends the response unchanged, unless modified by the uploader. This potential plant image warehousing technique will outstand as an authentic and reliable source of plant image database to the entire working community at NARES (National Agricultural Research and Education System). CONTACT V.V. Sumanth Kumar sumanth@naarm.org.in ICAR, NAARM Rd, Acharya Ng Ranga Agricultural University, Rajendranagar mandal, Hyderabad, Telangana, India. © 2020 The Author(s). Published by Oriental Scientific Publishing Company This is an Open Access article licensed under a Creative Commons license: Attribution 4.0 International (CC-BY). Doi: 10.13005/ojcst13.01.04 Article History Received: 20 April 2020 Accepted: 5 May 2020","PeriodicalId":270258,"journal":{"name":"Oriental journal of computer science and technology","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oriental journal of computer science and technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13005/ojcst13.01.04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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云动力工厂图像仓库
云驱动的植物图像仓库为NARES(国家农业研究和教育系统)参与研究、教育和推广的各种科学和学术人员提供了一个工具解决方案,通过提供一个通用的图像数据集,通过节省他们的时间、空间、麻烦和财务资源来补充高效和更富有成效的活动。这个基于web的图像库使整个科学界能够访问由在共同感兴趣的领域工作的研究人员提供的免费资源,除了方便地承认最初做出贡献的人。这也使他们能够更好地控制和使用元数据的标签和自定义主题的使用。植物图像仓库是在开源平台XAMPP的基础上开发的,该平台运行在Cent操作系统上,使用Apache Web服务器和MySQL(基于关系Web的数据管理系统)以及PHP(面向对象的脚本语言)。在开发这个图像仓库数据库时使用的第三方软件是ZenPHOTO,这是一个可配置的软件系统,用户可以上传、搜索和共享图像。图形用户界面仅限于静态网页,在静态网页中,根据用户的请求,服务器不加修改地发送响应,除非上传者修改。这种潜在的植物图像仓库技术将成为NARES(国家农业研究与教育系统)整个工作社区的真实可靠的植物图像数据库来源。联系V.V. Sumanth Kumar sumanth@naarm.org.in ICAR, NAARM Rd, Acharya Ng Ranga农业大学,Rajendranagar mandal,海得拉巴,泰伦加纳,印度。©2020作者。这是一篇基于知识共享许可协议的开放获取文章:Attribution 4.0 International (CC-BY)。收稿日期:2020年4月20日收稿日期:2020年5月5日
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