RETRACTED ARTICLE: Economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles

Neeraj Gupta, Saurabh Gupta, Mahdi Khosravy (), Nilanjan Dey, Nisheeth Joshi, Rubén González Crespo () and Nilesh Patel
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Neeraj Gupta: Oakland University
Saurabh Gupta: Banasthali Vidyapith
Mahdi Khosravy: Osaka University
Nilanjan Dey: Techno International New Town
Nisheeth Joshi: Banasthali Vidyapith
Rubén González Crespo: International University of La Rioja
Nilesh Patel: Oakland University

Journal of Intelligent Manufacturing, 2021, vol. 32, issue 4, No 12, 1117-1128

Abstract: Abstract Today’s Agriculture vehicles (AgV)s are expected to encompass mainly the three requirements of customers; economy, the use of High technology and reliability. In this manuscript, we investigate the technology solution for efficient health monitoring and diagnostic (HM&D) strategy to maximize the field efficiency and minimize the machine cost. Based on the data captured by various IoT sensors, we demonstrate the facts to shift the HM&D technology from costly sensor to economic microphone based mechanism. The adopted strategy is capable to reduce the bulky data transmission on the internet, and to increase the up-time of AgVs. We experimented on the essential red hot chili peppers system of the AgV’s backbone hydraulic system—the hydraulic filter and pump. The measurement system analysis is adopted to determine the preciseness of data captured near the considered components. The envision of the correlation between the collected data extracts significant information to draw the facts to embrace the future HM&D technology shift. Correlation between the signals captured from costly sensors and Microphone for the generated faults in hydraulic components demonstrates the effectiveness of audio to replace existing HM&D technology.

Keywords: IoT; Big data; Agriculture end-devices; Agriculture vehicle; Artificial intelligence; Acoustic noise; Sensors (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10845-020-01610-0

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