Paper Title

Crop & Fertilizer Recommendation Using Machine Learning

Article Identifiers

Registration ID: IJNRD_217001

Published ID: IJNRD2404212

DOI: Click Here to Get

Authors

Pushparaj Naik , Somnath Melasagare , Sanket Pandit , Soham Gawade , Prathmesh Narvekar

Keywords

Crop Recommendation

Abstract

The incorporation of machine learning into systems for recommending crops and fertilizers is a revolutionary development in precision agriculture. The way the system works is by gathering and analyzing several factors, like crop kind, weather, and soil quality. The system creates correlations and patterns in the data by using machine learning models and algorithms. By using less extra fertilizer, this method not only improves crop quality and yield but also tackles sustainability issues. Furthermore, system adjusts to changing environmental conditions, providing real-time information. while farmers gain from higher efficiency and lower costs. Implementation of machine learning-driven crop and fertilizer recommendation systems represents a key step toward a more sustainable and productive agricultural future.

How To Cite

"Crop & Fertilizer Recommendation Using Machine Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b915-b921, April-2024, Available :https://ijnrd.org/papers/IJNRD2404212.pdf

Issue

Volume 9 Issue 4, April-2024

Pages : b915-b921

Other Publication Details

Paper Reg. ID: IJNRD_217001

Published Paper Id: IJNRD2404212

Downloads: 000121262

Research Area: Computer Engineering 

Country: Sindhudurg, MAHARASHTRA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404212.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404212

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

Publisher: IJNRD (IJ Publication) Janvi Wave

Publication Timeline

Peer Review
Through Scholar9.com Platform

Article Preview: View Full Paper

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.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

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.

Subject Category: Research Area