Paper Title

AGRICULTURE CROP ANALYSIS USING HADOOP

Article Identifiers

Registration ID: IJNRD_201362

Published ID: IJNRD2307144

DOI: Click Here to Get

Authors

Narmadha N , Ramachandiran R,

Keywords

Agriculture; Machine Learning; Classifiers; K- Nearest Neighbor(KNN)

Abstract

Given their high vulnerability, developing countries have been particularly affected by the effects of weather change during in the recent years. In this way, providing knowledge and information could act as a strategic support service to help farmers become more resilient in their farming systems by enabling them to both adapt to and benefit from the new scenarios brought on by climate change as well as to take preventive measures. In order to prevent the effects of extreme weather occurrences, this study sought to understand the structure of interactions amongst farmers in the system. To do this, we want to comprehend the relations between farmers and the government as well as the different regions in weather patterns and farming methods.

How To Cite

"AGRICULTURE CROP ANALYSIS USING HADOOP", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 7, page no.b400-b404, July-2023, Available :https://ijnrd.org/papers/IJNRD2307144.pdf

Issue

Volume 8 Issue 7, July-2023

Pages : b400-b404

Other Publication Details

Paper Reg. ID: IJNRD_201362

Published Paper Id: IJNRD2307144

Downloads: 000121121

Research Area: Computer Science & Technology 

Country: Puducherry, Puducherry, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2307144.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307144

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

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