Wireless Sensor Data Acquisition and Control Monitoring Model for Internet of Things Applications
Author(s) -
Sulaima Lebbe Abdul Haleem,
Pravin R. Kshirsagar,
Hariprasath Manoharan,
Boppuru Rudra Prathap,
S. Hemalatha,
Kukatlapalli Pradeep Kumar,
Vineet Tirth,
Saiful Islam,
Raghuveer Katragadda,
Temesgen Abeto Amibo
Publication year - 2022
Publication title -
scientific programming
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.269
H-Index - 36
eISSN - 1875-919X
pISSN - 1058-9244
DOI - 10.1155/2022/9099163
Subject(s) - agriculture , internet of things , computer science , wireless sensor network , productivity , control (management) , wireless , work (physics) , field (mathematics) , agricultural engineering , the internet , real time computing , telecommunications , computer security , engineering , geography , artificial intelligence , mathematics , computer network , economics , world wide web , economic growth , mechanical engineering , pure mathematics , archaeology
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%.
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