Research Article

Smart Irrigation and Remote Farm Monitoring System

by  Priyanka Choudhari, Ankita Borse, Harsh Chauhan
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Issue 38
Published: May 2018
Authors: Priyanka Choudhari, Ankita Borse, Harsh Chauhan
10.5120/ijca2018917011
PDF

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 },
                        year    = { 2018 },
                        volume  = { 180 },
                        number  = { 38 },
                        pages   = { 24-26 },
                        doi     = { 10.5120/ijca2018917011 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2018
                        %A Priyanka Choudhari
                        %A Ankita Borse
                        %A Harsh Chauhan
                        %T Smart Irrigation and Remote Farm Monitoring System%T 
                        %J International Journal of Computer Applications
                        %V 180
                        %N 38
                        %P 24-26
                        %R 10.5120/ijca2018917011
                        %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
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

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

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