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Design of Automated Irrigation System based on Field Sensing and Forecasting

by Jayendra Kumar, Srinath Mishra, Anurag Hansdah, Ratul Mahato
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 15
Year of Publication: 2016
Authors: Jayendra Kumar, Srinath Mishra, Anurag Hansdah, Ratul Mahato
10.5120/ijca2016910938

Jayendra Kumar, Srinath Mishra, Anurag Hansdah, Ratul Mahato . Design of Automated Irrigation System based on Field Sensing and Forecasting. International Journal of Computer Applications. 146, 15 ( Jul 2016), 17-21. DOI=10.5120/ijca2016910938

@article{ 10.5120/ijca2016910938,
author = { Jayendra Kumar, Srinath Mishra, Anurag Hansdah, Ratul Mahato },
title = { Design of Automated Irrigation System based on Field Sensing and Forecasting },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 15 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume146/number15/25474-2016910938/ },
doi = { 10.5120/ijca2016910938 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:50:33.690270+05:30
%A Jayendra Kumar
%A Srinath Mishra
%A Anurag Hansdah
%A Ratul Mahato
%T Design of Automated Irrigation System based on Field Sensing and Forecasting
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 15
%P 17-21
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The conventional irrigation systems tend to waste irrigation water by not considering the upcoming precipitation. The precipitation in India being erratic in nature calls for the use of efficient forecasting methods. This paper proposes a design of irrigation system that employs a weather forecasting algorithm to calculate the water requirement and control irrigation based on soil moisture for the sustainable irrigation of crops. Statistical forecasting methods are most suitable for this application as they can predict extreme weather conditions that could have occurred previously and needs negligible time to deploy the algorithm. Here a modified version of the sliding window algorithm has been used to fit the requirements of the irrigation system [4]. However, the design can work with other forecasting methods due to implementation of modularity.

References
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  4. Kumar, Jayendra., Mishra, Srinath., Hansdah, Anurag., Kumar, Rajiv., 2016, Modified Sliding Window Algorithm for Weather Forecasting. Accepted for publication in Technological Innovations in ICT for Agriculture and Ruler Development (TIAR 2016). IEEE
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Index Terms

Computer Science
Information Sciences

Keywords

PID control Max-min normalization Variation trend Matching Euclidean distance.

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