KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/81321
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | V.V. Sumanth Kumar | en_US |
dc.contributor.author | Praneetha Y | en_US |
dc.contributor.author | Padmaja B | en_US |
dc.contributor.author | Lakshmana Murthy G | en_US |
dc.date.accessioned | 2024-01-29T10:59:26Z | - |
dc.date.available | 2024-01-29T10:59:26Z | - |
dc.date.issued | 2020-05-06 | - |
dc.identifier.citation | Not Available | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/81321 | - |
dc.description | Not Available | en_US |
dc.description.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). | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Not Available | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Cloud Storage; Database; Plant Image Warehouse; ZenPHOTO. | en_US |
dc.title | Cloud Powered Plant Image Warehouse | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Oriental Journal of Computer Science and Technology | en_US |
dc.publication.volumeno | 13(1) | en_US |
dc.publication.pagenumber | 44 - 49 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | http://dx.doi.org/10.13005/ojcst13.01.04 | en_US |
dc.publication.authorAffiliation | ICAR-National Academy of Agricultural Research Management | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | Not Available | en_US |
dc.publication.naasrating | Not Available | en_US |
dc.publication.impactfactor | Not Available | en_US |
Appears in Collections: | AEdu-NAARM-Publication |
Files in This Item:
File | Description | Size | Format | |
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OJCST_Vol13_N1_p_44-49.pdf | 668.63 kB | Adobe PDF | View/Open |
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