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Developing a Radio Frequency Identification (RFID) as a Decision Support System in Horticulture Industry

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Conference

2018 ASEE Annual Conference & Exposition

Location

Salt Lake City, Utah

Publication Date

June 23, 2018

Start Date

June 23, 2018

End Date

July 27, 2018

Conference Session

Instrumentation Division Technical Session 2

Tagged Division

Instrumentation

Tagged Topic

Diversity

Page Count

18

Permanent URL

https://peer.asee.org/30293

Download Count

112

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Paper Authors

biography

Lash B. Mapa Purdue University Northwest

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Lash Mapa is a Professor in Industrial/Mechanical Engineering Technology at Purdue University Northwest (PNW). His undergraduate and graduate degrees are in Chemical Engineering. He has several years’ experience as a Chemical Engineer, Process and Project manager with European and U.S. manufacturing organizations. Currently, he is involved in the MS Technology program at PUC and has managed over thirty lean six sigma projects with manufacturing, service industry and educational institutions. He is a certified six sigma black belt and a certified quality engineer with ASQ

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biography

Feroja Goni Purdue University Northwest

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Feroja Goni

2211 169th street Apt.09, Hammond, IN 46323, Cell: (219)-315-3162, email: fgoni@pnw.edu
LinkedIn: https://bd.linkedin.com/in/feroja-goni-8851b448

EDUCATION
Purdue University Northwest
Masters of Science, Industrial Engineering Technology, 4.0/4.0, Expected, 12/2017
Independent University, Bangladesh. (IUB)
Master of Business Administration, Marketing, CGPA: 3.42 /4. January, 2013
Bangladesh University of Business &Technology (BUBT)
Bachelor of Business Administration, Marketing, CGPA: 3.77 /4 June, 2009

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Sadia Alam

biography

Gokarna Aryal Purdue University Northwest

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Gokarna Aryal is an associate professor of Statistics at Purdue University Northwest. His research areas include distribution theory, reliability analysis, and applied statistics.

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Abstract

Radio frequency identification (RFID) is a broad term that is used to describe a system that transmits the identity (in the form of a unique serial number) of an object wirelessly, using radio waves and categorized as an automatic identification technology. RFID is designed to enable readers to capture data on tags and transmit it to a computer system - without needing a person to be involved. A typical RFID system consists of a tag with a microchip attached to a radio antenna mounted on a substrate and a reader with a data acquisition system. The chip can store as much as 2 kilobytes of data. A typical reader is a device that has one or more antennas that emit radio waves and receive signals back from the tag. The reader then passes the information in digital form to a computer system. RFID is being used by many industries including manufacturing, shipping and transportation, medical and healthcare and animal identification. This technology has had limited applications in the horticulture industry, including being used for the identification and tracking of shipping carts for inventory control but not at item level monitoring (individual pots and plants) and ‘condition level’ (moisture level, history of fertilizer interval etc.) of the item. This is essential during warranty replacement and insurance of high end or economically valuable plants. A design matrix was created for the major factors that are under investigation, moisture level, density of material, temperature. The design matrix will show all possible combinations of high and low levels for each input factor. This paper presents initial research that has been conducted to identify major factors that are important in horticulture using a RFID system.

Mapa, L. B., & Goni, F., & Alam, S., & Aryal, G. (2018, June), Developing a Radio Frequency Identification (RFID) as a Decision Support System in Horticulture Industry Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. https://peer.asee.org/30293

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