Crop and Fertilizer recommendation system using Machine Learning

Crop and Fertilizer recommendation system using Machine Learning

Registration ID: IJNRD_219465

Published ID: IJNRD2404654

DOI: Click Here to Get

B. N. Divya , C. Mallika , D. Chaithanya , K. Himal kumar , Mrs. K. Shandhini

Agriculture, machine learning, graphical visualization, k-means clustering, map reduce, recommendation system.

This paper aims at collecting and analysing temperature, rainfall, soil, seed, crop production, humidity and wind speed data (in a few regions), which will help the farmers improve the produce of their crops. Firstly, we pre-process the data in a Python environment and then apply the MapReduce framework, which further analyses and processes the large volume of data. Secondly, k-means clustering is employed on results gained from MapReduce and provides a mean result on the data in terms of accuracy. After that, we use bar graphs and scatter plots to study the relationship between the crop, rainfall, temperature, soil and seed type of two regions (Ahmednagar, Maharashtra and, Andaman and Nicobar Islands). Further, a self-designed recommender system has been used to predict the crops and display them on a Graphic User Interface designed in a Flask environment. The system design is scalable and can be used to nd the recommended crops of other states in a similar manner in the future.

Published Paper   E-Certificate

"Crop and Fertilizer recommendation system using Machine Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g457-g463, April-2024, Available :https://ijnrd.org/papers/IJNRD2404654.pdf

Volume 9 Issue 4, April-2024

Pages : g457-g463

Paper Reg. ID: IJNRD_219465

Published Paper Id: IJNRD2404654

Downloads: 000121237

Research Area: Computer Science & Technology 

Country: Kuppam/chittoor d, Andhrapradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2404654.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2404654

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

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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

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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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