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Smart Irrigation and Remote Farm Monitoring System

by Priyanka Choudhari, Ankita Borse, Harsh Chauhan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 38
Year of Publication: 2018
Authors: Priyanka Choudhari, Ankita Borse, Harsh Chauhan
10.5120/ijca2018917011

Priyanka Choudhari, Ankita Borse, Harsh Chauhan . Smart Irrigation and Remote Farm Monitoring System. International Journal of Computer Applications. 180, 38 ( May 2018), 24-26. DOI=10.5120/ijca2018917011

@article{ 10.5120/ijca2018917011,
author = { Priyanka Choudhari, Ankita Borse, Harsh Chauhan },
title = { Smart Irrigation and Remote Farm Monitoring System },
journal = { International Journal of Computer Applications },
issue_date = { May 2018 },
volume = { 180 },
number = { 38 },
month = { May },
year = { 2018 },
issn = { 0975-8887 },
pages = { 24-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number38/29379-2018917011/ },
doi = { 10.5120/ijca2018917011 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:03:01.400959+05:30
%A Priyanka Choudhari
%A Ankita Borse
%A Harsh Chauhan
%T Smart Irrigation and Remote Farm Monitoring System
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 38
%P 24-26
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Primary occupation of our country is agriculture. Automation of farming activities is smart farming, Traditional way reduces the productivity as well as there is wastage of water. To overcome this problem smart irrigation system using IOT is developed. This project includes various sensors like Soil Moisture, PT100, BH1750, Float sensor to sense the physical parameter. Arduino is used to control all the sensors. The data is handled remotely using Android app and website. Evapotarnspiration algorithm is used to calculate accurate requirement of water. KNN algorithm is used to predict the crops for particular geographical zone. This product would increase the productivity of farm as proper amount of water only would be supplied to the plants.

References
  1. AnkitYadhav ,PranavPandhare ,SaleelKulkarni,Shubham, Kale,SoniyaZope, "Design and implementation of Smart Agriculture using Embedded System", Volume 5 Issue 12 Dec.2016, International Journal Of Engineering And Computer Science ISSN: 2319-7242.
  2. Dr.N.Suma,Sandra Rhea Samson ,S.Saranya, G.Shanmugapriya, R.Subhashri, "IOT Based Smart Agriculture Monitoring System" Volume 5 Issue 2,International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169.
  3. Rajalakshmi.P,Mrs.S.DeviMahalakshmi, "IOT Based Crop-Field Monitoring And Irrigation Automation",10th international conference on intelligent system and control(ISCO),Year:2016.
  4. Bishnu Deo Kumar, Prachi Srivastava, Reetika Agrawal, Vanya Tiwari," Microcontroller Based Automatic Plant Irrigation System", Volume 4 Issue 5, May 2017, International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 .
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  6. Dale Boyd "Soil moisture monitoring for crop management", IOP Publishing,IOPConf.Series:Earth and Environmental Science 25,Year:2015.
  7. Dr. P. Banumathi, D. Saravanan, M. Sathiyapriya, V. Saranya "An Android Based Automatic Irrigation System Using Bayesian Network with SMS and Voice Alert", Volume 2 Issue 2,International Journal of Scientific Research in Computer Science, Engineering and Information Technology ISSN : 2456-3307.
Index Terms

Computer Science
Information Sciences

Keywords

IOT Sensors(soil moisture float PT100 BH1750) Ardiuno Android Website KNN Evapotranspiration

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