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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/84169
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Ankit Kumar Singh | en_US |
dc.contributor.author | Ranjit Kumar Paul | en_US |
dc.contributor.author | Md Yeasin | en_US |
dc.contributor.author | Anita Sarkar | en_US |
dc.contributor.author | A.K. Paul2 | en_US |
dc.contributor.author | Prakash Kumar | en_US |
dc.contributor.author | H S Roy | en_US |
dc.date.accessioned | 2024-09-10T10:10:30Z | - |
dc.date.available | 2024-09-10T10:10:30Z | - |
dc.date.issued | 2024-05-01 | - |
dc.identifier.citation | Singh, A. K., Paul, R. K., Yeasin, Md., Sarkar, A., Paul, A. K., Kumar, P. and Roy, H. S. 2024. Big Data Analysis and Its Impact on Agriculture. Vigyan Varta 5(5): 259-262. | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/84169 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Big data analysis, with its capability to process large and diverse datasets, offers innovative solutions for sustainable agricultural practices. By leveraging IoT devices for real-time data collection from fields, soil, plants, and machinery, coupled with cloud-based integration of additional information like weather data, analysts may derive important insights and patterns. These insights enable precise farming practices, predictive algorithms for issue identification, and proactive problem-solving, ultimately leading to improved resource utilization, minimized environmental impact, and enhanced agricultural productivity. This article highlights the transformative potential of big data analytics in agriculture, emphasizing the need for stakeholders to embrace these technologies to address the challenge of increasing food production sustainably while minimizing environmental damage. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Vigyan Varta an International E-Magazine for Science Enthusiasts | en_US |
dc.relation.ispartofseries | 5; | - |
dc.subject | Big data, Precision farming, Smart agriculture, Sustainable agriculture. | en_US |
dc.title | Big Data Analysis and Its Impact on Agriculture | en_US |
dc.type | Article | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Vigyan Varta | en_US |
dc.publication.volumeno | 5(5) | en_US |
dc.publication.pagenumber | 259-262 | en_US |
dc.publication.divisionUnit | Statistical Genetics | en_US |
dc.publication.sourceUrl | Not Available | en_US |
dc.publication.authorAffiliation | The Graduate School, ICAR-Indian Agricultural Research Institute, New Delhi, India | en_US |
dc.publication.authorAffiliation | ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India | 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-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Ankit et al Vigyan Varta 2024.pdf | 357.04 kB | Adobe PDF | View/Open |
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