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 (APA)

Rajat Manohar Thakare, Ajay Chandraprakash Binekar, Rohit Vinod Lokhande, Lalit Keshav Gaikwad, & Mangesh Dilip Bute,Prof. Nupur Banode (April-2023). SMART CROP AND FERTILIZER RECOMANDATION SYSTEM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), e147-e151. 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: 000121984

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

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Call For Paper

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

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Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

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

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

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