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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, 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) |
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Issue: May 2024
Volume 9 | Issue 5
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| Paper Title: | Crop and Fertilizer recommendation system using Machine Learning |
| Authors Name: | B. N. Divya , C. Mallika , D. Chaithanya , K. Himal kumar , Mrs. K. Shandhini |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_219465
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| Published Paper Id: | IJNRD2404654 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | 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. |
| Keywords: | Agriculture, machine learning, graphical visualization, k-means clustering, map reduce, recommendation system. |
| Cite Article: | "Crop and Fertilizer recommendation system using Machine Learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g457-g463, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404654.pdf |
| Downloads: | 00041 |
| 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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Published Paper ID:IJNRD2404654 Registration ID: 219465 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: g457-g463 Country: Kuppam/chittoor d, Andhrapradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404654 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404654 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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