Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/5985
Title: Wireless sensor data acquisition and control monitoring model for internet of things applications
Authors: Abdul Haleem, SulaimaLebbe
Kshirsagar, Pravin R.
Manoharan, Hariprasath
Prathap, BoppuruRudra
Hemalatha, S.
Pradeep Kumar, Kukatlapalli
Tirth, Vineet
Islam, Saiful
Katragadda, Raghuveer
Abeto Amibo, Temesgen
Keywords: Providing solutions
Urban
Integrated
Agriculture
Issue Date: 17-Feb-2022
Publisher: Hindawi
Citation: Scientific Programming, vol. 2022, Article ID 9099163, 9 pages, 2022
Abstract: This article focuses on providing solutions for one important application termed as agriculture. In India, one major occupation for people living in urban and rural areas is agriculture where an economic rate depends only on the crops they yield. In such cases, if an intelligent monitoring device is not integrated then it becomes difficult for the farmers to grow their crops and to accomplish marginal income from what they have invested. Also existing methods have been analyzed in the same field where some devices have been installed and checked for increasing the productivity of horticulture crops. But existing methods fail to install an intelligent monitoring device that can provide periodic results within short span of time. Therefore, a sensor based technology with Internet of Things (IoT) has been implemented in the projected work for monitoring major parameters that support the growth and income of farmers. Also, an optimization algorithm for identifying the loss in different crops has been incorporated for maximizing the system boundary and to transmit data to farmers located in different areas. To prove the cogency of proposed method some existing methods have been compared and the results prove the projected technique produces improved results for about 58%.
URI: https://doi.org/10.1155/2022/9099163
http://ir.lib.seu.ac.lk/handle/123456789/5985
ISSN: 1058-9244 (Print)
1875-919X (Online)
Appears in Collections:Research Articles

Files in This Item:
File Description SizeFormat 
9099163.pdf1.8 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.