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)
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.
"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
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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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