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A Median Strange Point algorithm for Delineation of Agricultural Management Zones

P. P.Janrao1 , D.S. Mishra2 , V. A. Bharadi3

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-3 , Page no. 7-12, Mar-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i3.712

Online published on Mar 30, 2020

Copyright © P. P.Janrao, D.S. Mishra, V. A. Bharadi . 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: P. P.Janrao, D.S. Mishra, V. A. Bharadi, “A Median Strange Point algorithm for Delineation of Agricultural Management Zones,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.3, pp.7-12, 2020.

MLA Style Citation: P. P.Janrao, D.S. Mishra, V. A. Bharadi "A Median Strange Point algorithm for Delineation of Agricultural Management Zones." International Journal of Computer Sciences and Engineering 8.3 (2020): 7-12.

APA Style Citation: P. P.Janrao, D.S. Mishra, V. A. Bharadi, (2020). A Median Strange Point algorithm for Delineation of Agricultural Management Zones. International Journal of Computer Sciences and Engineering, 8(3), 7-12.

BibTex Style Citation:
@article{P.Janrao_2020,
author = {P. P.Janrao, D.S. Mishra, V. A. Bharadi},
title = {A Median Strange Point algorithm for Delineation of Agricultural Management Zones},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2020},
volume = {8},
Issue = {3},
month = {3},
year = {2020},
issn = {2347-2693},
pages = {7-12},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5042},
doi = {https://doi.org/10.26438/ijcse/v8i3.712}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i3.712}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5042
TI - A Median Strange Point algorithm for Delineation of Agricultural Management Zones
T2 - International Journal of Computer Sciences and Engineering
AU - P. P.Janrao, D.S. Mishra, V. A. Bharadi
PY - 2020
DA - 2020/03/30
PB - IJCSE, Indore, INDIA
SP - 7-12
IS - 3
VL - 8
SN - 2347-2693
ER -

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Abstract

Use of Precision Agriculture (PA) is the need of an hour to enhance the crop productivity to meet the increasing demand of food supply. Clustering algorithms have been proven to be the best suitable ones to delineate the management zones (as per soil fertility) in PA. Management zones can be treated as sub-fields, which are homogeneous in soil physical/chemical properties. In this paper we have proposed a median strange point (MSP) clustering algorithm for the delineation of agricultural management zones. The median strange point algorithm has been compared with the popular clustering algorithms like K-means, Fuzzy C Mean, Possiblistic Fuzzy C Means and Linde Buzo Gray algorithms. The results obtained demonstrated that for the given number of management zones the median strange point algorithm outputs are at par; in some cases superior than the standard algorithms. The proposed experimentation is carried out on the Sugarcane (Saccharum Officinarum) datastet of a small farm of size 2.83ha (7 acres) in Kanhegaon village, Ahmednagar (Maharashtra), India.

Key-Words / Index Term

K-means, Fuzzy C Mean, Possiblistic Fuzzy C Means, LBG, Management zones

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