Secured IoT Based Smart Greenhouse System with Image Inspection

Automated Greenhouse System helps the farmers by controlling the environmental parameters through Internet of Things(IoT), including crop health inspection using image analysis. The Greenhouse is generally affected by two factors: plant disease and weather condition, which leads to the fall in produ...

Full description

Saved in:
Bibliographic Details
Published in:International Conference on Advanced Computing and Communication Systems (Online) pp. 1080 - 1082
Main Authors: Sundari.M, Shunmuga, Mathana, J.M, Nagarajan, T.S
Format: Conference Proceeding
Language:English
Published: IEEE 01.03.2020
Subjects:
Air pollution
Cloud computing
Data security -XTEA-Extended Tiny Encryption Algorithm
Diseases
Green products
Greenhouse System
Humidity
Inspection
IoT
OpenCV
Plant Inspection System
Temperature sensors
ISBN:1728151961, 9781728151960
ISSN:2575-7288
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Automated Greenhouse System helps the farmers by controlling the environmental parameters through Internet of Things(IoT), including crop health inspection using image analysis. The Greenhouse is generally affected by two factors: plant disease and weather condition, which leads to the fall in production. The weather condition can be controlled through Microcontroller Unit(MCU) and the plant disease can be monitored using image inspection system. The research recommends a cheaper image evaluation framework for the plant disease analysis and fully automated Greenhouse with data security. The prototype of the proposed system consists of Raspberry pi, MSP432, Temperature sensor, Moisture sensor, Humidity sensor and OpenCV Image Inspection System. The actuators and motors are controlled by MCU MSP432 through relays upon reaching predetermined threshold values. The proposed architecture is equipped with embedded data security by implementing Extended Tiny Encryption Algorithm (XTEA). Lastly, the agriculturists can familiarize with the recommended framework through the cloud-centered application. The autonomous framework permits the agriculturists to evaluate and control their greenhouse ecology remotely.
AbstractList Automated Greenhouse System helps the farmers by controlling the environmental parameters through Internet of Things(IoT), including crop health inspection using image analysis. The Greenhouse is generally affected by two factors: plant disease and weather condition, which leads to the fall in production. The weather condition can be controlled through Microcontroller Unit(MCU) and the plant disease can be monitored using image inspection system. The research recommends a cheaper image evaluation framework for the plant disease analysis and fully automated Greenhouse with data security. The prototype of the proposed system consists of Raspberry pi, MSP432, Temperature sensor, Moisture sensor, Humidity sensor and OpenCV Image Inspection System. The actuators and motors are controlled by MCU MSP432 through relays upon reaching predetermined threshold values. The proposed architecture is equipped with embedded data security by implementing Extended Tiny Encryption Algorithm (XTEA). Lastly, the agriculturists can familiarize with the recommended framework through the cloud-centered application. The autonomous framework permits the agriculturists to evaluate and control their greenhouse ecology remotely.
Author Sundari.M, Shunmuga
Nagarajan, T.S
Mathana, J.M
Author_xml – sequence: 1
  givenname: Shunmuga
  surname: Sundari.M
  fullname: Sundari.M, Shunmuga
  organization: Chennai Institute of Technology,CSE Department,Chennai,Tamilnadu,India
– sequence: 2
  givenname: J.M
  surname: Mathana
  fullname: Mathana, J.M
  organization: Chennai Institute of Technology,ECE Department,Chennai,Tamilnad,India
– sequence: 3
  givenname: T.S
  surname: Nagarajan
  fullname: Nagarajan, T.S
  organization: University College of Engineering Kanchipuram,ECE Department,Kanchipuram,Tamilnadu,India
BookMark eNpFj91Kw0AUhNc_sK19Am_2BRLP2c0mu1eiodZAwYtU8K5sNmdtxCQlmyJ9ewMWvJphBoZv5uy66ztijCPEiGAeivwpz8tEZ6BiAQJiA1kilL5gc8yERoUm-7hkM6EyFU2BvvovUrxlyxC-AECiNlrrGXssyR0HqnnRb_mzDZMrWzuMfD0Qdfv-GIiXpzBSy3-acc-L1n4SL7pwIDc2fXfHbrz9DrQ864K9v6y2-Wu0eVtPrJuoESDHSJFwmkBLS0ZWaIR0CpWv0RmdosfU-VQJ6xWC9pUD52tTJSo1LkMJopYLdv-32xDR7jA0E-Rpdz4vfwE_sE4X
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/ICACCS48705.2020.9074258
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Xplore (IEEE/IET Electronic Library - IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Xplore (IEEE/IET Electronic Library - IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISBN 172815197X
9781728151977
EISSN 2575-7288
EndPage 1082
ExternalDocumentID 9074258
Genre orig-research
GroupedDBID 6IE
6IF
6IL
6IN
AAJGR
AAWTH
ABLEC
ADZIZ
ALMA_UNASSIGNED_HOLDINGS
BEFXN
BFFAM
BGNUA
BKEBE
BPEOZ
CBEJK
CHZPO
IEGSK
OCL
RIE
RIL
ID FETCH-LOGICAL-i203t-5e2c8e083ae93b1923c515fd1c9861f16cf652af5108fbc0cfd9b4569c71302d3
IEDL.DBID RIE
ISBN 1728151961
9781728151960
ISICitedReferencesCount 9
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000570722600218&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Wed Aug 27 02:41:20 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-i203t-5e2c8e083ae93b1923c515fd1c9861f16cf652af5108fbc0cfd9b4569c71302d3
PageCount 3
ParticipantIDs ieee_primary_9074258
PublicationCentury 2000
PublicationDate 2020-March
PublicationDateYYYYMMDD 2020-03-01
PublicationDate_xml – month: 03
  year: 2020
  text: 2020-March
PublicationDecade 2020
PublicationTitle International Conference on Advanced Computing and Communication Systems (Online)
PublicationTitleAbbrev ICACCS
PublicationYear 2020
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0003189888
Score 1.8153734
Snippet Automated Greenhouse System helps the farmers by controlling the environmental parameters through Internet of Things(IoT), including crop health inspection...
SourceID ieee
SourceType Publisher
StartPage 1080
SubjectTerms Air pollution
Cloud computing
Data security -XTEA-Extended Tiny Encryption Algorithm
Diseases
Green products
Greenhouse System
Humidity
Inspection
IoT
OpenCV
Plant Inspection System
Temperature sensors
Title Secured IoT Based Smart Greenhouse System with Image Inspection
URI https://ieeexplore.ieee.org/document/9074258
WOSCitedRecordID wos000570722600218&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV07T8MwELbaioGpQIt4ywMjbp2kceIRIiqyVJVapG5VbJ9FhyaoD34_ZyctQmJhizNE1p2d-757EvKIWi7CBEYsNArYCBXLpOaKFUbJGOzI9Qz3wyaSySRdLOS0RZ6OtTAA4JPPYOAefSzfVHrvXGVDT-TitE3aSSLqWq2jPwXPpkQ252q3kjBFOyZF0LR0Oqz5IZOHy2GePWfZDNE6j5EkhnzQfPvXkBVvY8bd_-3ujPR_ivXo9GiGzkkLygvSPUxroM3l7SEsd651MDSv5vQFjZehszUeHOpTbz6q_RZo3b-cOucszdf4q6F5WddiVmWfvI9f59kba8YnsFXIox2LIdQpIMQqQEbKITmN4MWaQMtUBDYQ2oo4LCzeytQqzbU1UiGekjpx0UwTXZJOWZVwRajkxkZSFFbJyHGuQiLNQaLlgsEiCtQ16Tl5LD_rDhnLRhQ3f7--JadO5HUm1x3p7DZ7uCcn-mu32m4evFq_ASfxnPg
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LT8JAEJ4gmugJFY1v9-DRwraljz0qkdCIhARMuJHu7mzkQGt4-PudbQvGxIu3bg_NZma3833zBHggLadehB3H0xKdDinWEYpLJ9VSBGg6tmd4MWwiGg7j6VSMavC4q4VBxCL5DFv2sYjl61xtrKusXRC5IN6DfTs5q6rW2nlU6HQK4nO2eivyYrJkInSrpk7bNd_m8nDRTrpP3e6Y8DoPiCZ6vFV9_deYlcLK9Br_298xnP2U67HRzhCdQA2zU2hs5zWw6vo2CZhb5zpqluQT9kzmS7Pxgo4OK5JvPvLNClnZwZxZ9yxLFvSzYUlWVmPm2Rm8914m3b5TDVBw5h73106AnoqRQFaKwpcWyymCL0a7SsSha9xQmTDwUkP3MjZScWW0kISohIpsPFP751DP8gwvgAmujS_C1EjhW9aVCiI6RLVsODj0XXkJTSuP2WfZI2NWieLq79f3cNifvA1mg2T4eg1HVvxlXtcN1NfLDd7Cgfpaz1fLu0LF342hoEE
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=proceeding&rft.title=International+Conference+on+Advanced+Computing+and+Communication+Systems+%28Online%29&rft.atitle=Secured+IoT+Based+Smart+Greenhouse+System+with+Image+Inspection&rft.au=Sundari.M%2C+Shunmuga&rft.au=Mathana%2C+J.M&rft.au=Nagarajan%2C+T.S&rft.date=2020-03-01&rft.pub=IEEE&rft.isbn=1728151961&rft.eissn=2575-7288&rft.spage=1080&rft.epage=1082&rft_id=info:doi/10.1109%2FICACCS48705.2020.9074258&rft.externalDocID=9074258
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781728151960/lc.gif&client=summon&freeimage=true
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781728151960/mc.gif&client=summon&freeimage=true
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781728151960/sc.gif&client=summon&freeimage=true