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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Paper Title:	Smart Crop Predictor using Machine Learning
Authors Name:	Gayatri Awate , Shreneel Kala , Jayshree Aher , Aditi Dhumal , Sanyukta Tamhankar
Unique Id:	IJSDR2203017
Published In:	Volume 7 Issue 3, March-2022
Abstract:	Agricultural forecast and statistics is an important resource that has not been explored comparably to its impact. The aim of our project is to make this process computerized by implementing principles of data analytics and representing it on a dashboard. These relational trends will act as solutions for farmers, especially in drought-prone areas. Data Science is coming to light in the research field in agricultural crop yield analysis. In this project, our emphasis is on the enactment of several machine learning approaches in the very essential agricultural domain
Keywords:	agriculture, farmers, machine learning, yield
Cite Article:	"Smart Crop Predictor using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 3, page no.121 - 126, March-2022, Available :http://www.ijsdr.org/papers/IJSDR2203017.pdf
Downloads:	000337074
Publication Details:	Published Paper ID: IJSDR2203017 Registration ID:200114 Published In: Volume 7 Issue 3, March-2022 DOI (Digital Object Identifier): Page No: 121 - 126 Publisher: IJSDR \| www.ijsdr.org ISSN Number: 2455-2631

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