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Intelligent Farming using Internet of Things and Cloud Computing

by J. Nandhini, A.S. Narmadha, G. Kalaiarasi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 8
Year of Publication: 2021
Authors: J. Nandhini, A.S. Narmadha, G. Kalaiarasi
10.5120/ijca2021921373

J. Nandhini, A.S. Narmadha, G. Kalaiarasi . Intelligent Farming using Internet of Things and Cloud Computing. International Journal of Computer Applications. 183, 8 ( Jun 2021), 22-26. DOI=10.5120/ijca2021921373

@article{ 10.5120/ijca2021921373,
author = { J. Nandhini, A.S. Narmadha, G. Kalaiarasi },
title = { Intelligent Farming using Internet of Things and Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2021 },
volume = { 183 },
number = { 8 },
month = { Jun },
year = { 2021 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number8/31947-2021921373/ },
doi = { 10.5120/ijca2021921373 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:16:13.525157+05:30
%A J. Nandhini
%A A.S. Narmadha
%A G. Kalaiarasi
%T Intelligent Farming using Internet of Things and Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 8
%P 22-26
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the arrival of latest technologies, Internet of Things (IoT) becomes popular not only in industries but also in agriculture. Agriculture is the key to the event of human civilization and when population increases, it's necessary to extend the productivity with decrease in cost, time and human effort also increases. Hence the concept of IoT is employed to satisfy those needs. The prevailing method of agriculture consumes plenty of manual work. The farmers felt difficult to monitor the field condition from anywhere and at any time. Therefore the parameters associated with the agriculture like temperature, humidity, rain, moisture etc., are collected with the assistance of sensors and notified immediately to the farmers using IoT technology. The agriculture system proposed is integrated with IoT, Raspberry Pi and sensors to enhance the agricultural efficiency. Live information feed is obtained online from thingspeak.com. In this system, all the activities in farming are monitored and controlled by farmers from pre-farming to post-farming with the assistance of this mobile devices and be advised 24*7. Animal detection is added advantage to the present system by detecting the presence of animal and offers a warning. Animal interference in residential areas is increasing day by day which affects the life of human and natural properties. This system is feasible to prevent both animal and human life.

References
  1. Asres Temam Abagissa, Ashutosh Behura, Santosh Kumar Pani, “IoT based Smart Agricultural Device Controlling System”, 2nd International Conference on Inventive Communication and Computational Technologies (ICICCT), ISBN:978-1-5386-1974-2, 2018.
  2. Shweta B. Saraf, Dhanashri H.Gawali, “IoT Based Smart Irrigation Monitoring and Controlling System”, 2nd IEEE International Conference on Recent Trends in Electronics Information & Communication Technology (RTEICT), 978-1-5090-3704-9, 2017 IEEE.
  3. Abhishek Kumar, Magesh. S, “Automated Irrigation System Based on Soil Moisture Using Arduino”, International Journal of Pure and Applied Mathematics Vol. 116, No.21, pp 319-323, 2017.
  4. Rahul Dagar, Subhranil Som, Sunil Kumar Khatri, “Smart Farming – IoT in Agriculture”, International Conference on Inventive Research in Computing Applications (ICIRCA),978-1-5386-2456-2, 2018 IEEE.
  5. Prajna. P, Soujanya B.S, Divya, “IoT- based Wild Animal Intrusion Detection System”, International Journal of Engineering Research & Technology (IJERT), Vol.6, Issue 15, 2018.
  6. Mrs.R.Rajalakshmi, M.Atshaya Kiruthika, K.Muthumari, R.Muthu priya, “IoT Based Smart Farming Using Cloud Computing”, International Journal Of Engineering Research and Technology (IJERT), Vol. 07, No. 01, ISSN: 2278-0181, 2019 .
  7. Shruti Bansod, Rishita Jaiwal, Priyanka Sargam , Prajakta Survase, “Arduino Based Water Irrigation System”, International Journal of Advance Research In Science and Engineering (IJARSE),Vol. 07, No. 03, ISSN: 2319-8354, April 2018.
  8. Vikhram.B, Revathi.B, Shanmuga Priya.R, Sowmiya.S, Pragadeeswaran, “Animal Detection System in Farm Areas”, International Journal of Advance Research In Computer and Communication Engineering (IJARCCE), Vol.06, Issue 3, March 2017.
  9. Hemalatha, G. Deepika, D. Dhanalakshmi, K. Dharanipriya, M.Divya, “Internet of Things (IoT) based Smart Irrigation”, International Journal of Advanced Research in Biology Engineering Science and Technology (IJARBEST), Vol.02, Issue 2, February 2016.
  10. Ashwini.C, Diparna Adhikary, Amisha Mishra, Shruti Duggal, “Automatic Irrigation System using Arduino”, International Research Journal of Engineering and Technology (IRJET), Vol.05, Issue 10, October 2018.
  11. D.Mohanapriya, K.Keerthika, M.Anitha, L.Dharani, Sathyapriya, “Intelligence Iot Based Fishermen Border Inspection System (SSRG-IJECE)”, March 2019.
Index Terms

Computer Science
Information Sciences

Keywords

Raspberry Pi PIR sensor Agriculture Smart Farming.

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