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Crop Suggesting System Using Unsupervised Machine Learning Algorithm

K.D. Yesugade1 , Hetanshi Chudasama2 , Aditi Kharde3 , Ketki Mirashi4 , Kajal Muley5

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 322-325, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.322325

Online published on Mar 31, 2019

Copyright © K.D. Yesugade, Hetanshi Chudasama, Aditi Kharde, Ketki Mirashi, Kajal Muley . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: K.D. Yesugade, Hetanshi Chudasama, Aditi Kharde, Ketki Mirashi, Kajal Muley, “Crop Suggesting System Using Unsupervised Machine Learning Algorithm,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.322-325, 2019.

MLA Style Citation: K.D. Yesugade, Hetanshi Chudasama, Aditi Kharde, Ketki Mirashi, Kajal Muley "Crop Suggesting System Using Unsupervised Machine Learning Algorithm." International Journal of Computer Sciences and Engineering 7.3 (2019): 322-325.

APA Style Citation: K.D. Yesugade, Hetanshi Chudasama, Aditi Kharde, Ketki Mirashi, Kajal Muley, (2019). Crop Suggesting System Using Unsupervised Machine Learning Algorithm. International Journal of Computer Sciences and Engineering, 7(3), 322-325.

BibTex Style Citation:
@article{Yesugade_2019,
author = {K.D. Yesugade, Hetanshi Chudasama, Aditi Kharde, Ketki Mirashi, Kajal Muley},
title = {Crop Suggesting System Using Unsupervised Machine Learning Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {322-325},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3838},
doi = {https://doi.org/10.26438/ijcse/v7i3.322325}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.322325}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3838
TI - Crop Suggesting System Using Unsupervised Machine Learning Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - K.D. Yesugade, Hetanshi Chudasama, Aditi Kharde, Ketki Mirashi, Kajal Muley
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 322-325
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

At this state of affairs several issues are faced by farmers in India, we have discovered that there is rise in suicide rate over the years. The reasons behind this includes weather conditions, debt, family issues and frequent change in Indian government norms. Sometimes farmers are not aware about the crop which suits their soil quality, soil nutrients and soil composition. Yield forecast is essential to agriculture stakeholders and can be obtained with the use of machine learning models and data coming from multiple sources.

Key-Words / Index Term

Climate, Sensors ,machine learning, agricultural productivity, crop production, prediction

References

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