Crop Recommendation System for Precision Agriculture
Bharath Kumar R1 , Balakrishna K2 , Bency Celso A3 , Siddesha M4 , Sushmitha R5
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-5 , Page no. 1277-1282, May-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i5.12771282
Online published on May 31, 2019
Copyright © Bharath Kumar R, Balakrishna K, Bency Celso A, Siddesha M, Sushmitha R . 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: Bharath Kumar R, Balakrishna K, Bency Celso A, Siddesha M, Sushmitha R, “Crop Recommendation System for Precision Agriculture,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1277-1282, 2019.
MLA Style Citation: Bharath Kumar R, Balakrishna K, Bency Celso A, Siddesha M, Sushmitha R "Crop Recommendation System for Precision Agriculture." International Journal of Computer Sciences and Engineering 7.5 (2019): 1277-1282.
APA Style Citation: Bharath Kumar R, Balakrishna K, Bency Celso A, Siddesha M, Sushmitha R, (2019). Crop Recommendation System for Precision Agriculture. International Journal of Computer Sciences and Engineering, 7(5), 1277-1282.
BibTex Style Citation:
@article{R_2019,
author = {Bharath Kumar R, Balakrishna K, Bency Celso A, Siddesha M, Sushmitha R},
title = {Crop Recommendation System for Precision Agriculture},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1277-1282},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4402},
doi = {https://doi.org/10.26438/ijcse/v7i5.12771282}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.12771282}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4402
TI - Crop Recommendation System for Precision Agriculture
T2 - International Journal of Computer Sciences and Engineering
AU - Bharath Kumar R, Balakrishna K, Bency Celso A, Siddesha M, Sushmitha R
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1277-1282
IS - 5
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
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Abstract
Crop forecasting or prediction is the art of predicting crop yields and production before the harvest actually takes place, typically a couple of months in advance. Crop forecasting relies on computer programs that describe the plant-environment interactions in quantitative terms. The soil testing program starts with the collection of a soil sample from a field. The first basic principle of soil testing is that a field can be sampled in such a way that chemical analysis of the soil sample will accurately reflect the field’s true nutrient status.
Key-Words / Index Term
Precision Agriculture, Recommendation system, Ensemble model, Majority Voting technique, K-Nearest Neighbour.
References
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