Paper Title

SMART CROP AND FERTILIZER RECOMANDATION SYSTEM

Article Identifiers

Registration ID: IJNRD_191750

Published ID: IJNRD2304421

DOI: Click Here to Get

Authors

Rajat Manohar Thakare , Ajay Chandraprakash Binekar , Rohit Vinod Lokhande , Lalit Keshav Gaikwad , Mangesh Dilip Bute,Prof. Nupur Banode

Keywords

Machine Learning, prediction, Classification Technique.

Abstract

India's economy, which is mostly dependent on agricultural products and yield growth, is an agricultural nation. An increasing area of study in crop production analysis is data mining. The ability to anticipate yield is a critical issue in agriculture. Any farmer is curious to know how much of a crop he can anticipate. Analyze the different factors that are associated, such as the location and the pH level used to calculate the soil's alkalinity. Location is used in conjunction with the use of third-party applications like APIs for weather and temperature, type of soil, nutrient value of the soil in that region, amount of rainfall in that region, and soil composition Percentages of nutrients like Nitrogen (N), Phosphorous (P), and Potassium (K) are also used. All of these data variables will be analyzed, and the data will be trained using different machine learning methods that are appropriate for building models. The system includes a model to be exact and accurate in predicting crop production and to provide the end user with appropriate recommendations regarding required fertilizer ratios based on atmospheric and soil factors of the land that enhance to boost crop yield and increase farmer income.

How To Cite

"SMART CROP AND FERTILIZER RECOMANDATION SYSTEM", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 4, page no.e147-e151, April-2023, Available :https://ijnrd.org/papers/IJNRD2304421.pdf

Issue

Volume 8 Issue 4, April-2023

Pages : e147-e151

Other Publication Details

Paper Reg. ID: IJNRD_191750

Published Paper Id: IJNRD2304421

Downloads: 000121183

Research Area: Engineering

Country: Umred, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304421.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304421

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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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

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

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Frequency: Monthly (12 issue Annually).

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

Subject Category: Research Area