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Investigation of RFID-Based Plant Growth and Inventory System.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Investigation of RFID-Based Plant Growth and Inventory System./
Author:	Barton, Kyle Eugene.
Description:	1 online resource (85 pages)
Notes:	Source: Masters Abstracts International, Volume: 84-11.
Contained By:	Masters Abstracts International84-11.
Subject:	Agriculture. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30417583click for full text (PQDT)
ISBN:	9798379484026

Investigation of RFID-Based Plant Growth and Inventory System.
Barton, Kyle Eugene.

Investigation of RFID-Based Plant Growth and Inventory System. - 1 online resource (85 pages)

Source: Masters Abstracts International, Volume: 84-11.

Thesis (M.S.)--Texas A&M University - Kingsville, 2023.

Includes bibliographical references

Radio frequency identification device technology has been in use since World War II and has developed significantly since then, with the range of applications continuously increasing each year. Only recently has the use of RFID tags and readers been tested in the field of agriculture. These tests include being used as a management aid for animal husbandry, monitoring the surrounding environment of crops, and studying wild animal behaviors. This research work will focus on designing and building a RFID management system. This RFID system aims to monitor the growth of individual plants as well as keep the inventory of the crops using data continuously collected from sensors about their surrounding environment. The unmanned aerial vehicle or a mobile robot will be used as a data collecting tool, downloading the stored data of the RFID tags and uploading the information to the main database. Implementation of the RFID tags can be done with the UAV or mobile robot in two ways. The first option is to place the RFID tags in predetermined locations around a greenhouse or similar indoor environment and use the drone or robot to collect information. The second option is to place RFID tags in strategic locations throughout a farm field or similar outdoor environment. randomly over the area to be covered, in which case data collection will be nonuniform.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379484026Subjects--Topical Terms:

518588
Agriculture.
Subjects--Index Terms:

DroneIndex Terms--Genre/Form:

542853
Electronic books.

Investigation of RFID-Based Plant Growth and Inventory System.
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500 $a Source: Masters Abstracts International, Volume: 84-11.
500 $a Advisor: Ozcelik, Selahattin.
502 $a Thesis (M.S.)--Texas A&M University - Kingsville, 2023.
504 $a Includes bibliographical references
520 $a Radio frequency identification device technology has been in use since World War II and has developed significantly since then, with the range of applications continuously increasing each year. Only recently has the use of RFID tags and readers been tested in the field of agriculture. These tests include being used as a management aid for animal husbandry, monitoring the surrounding environment of crops, and studying wild animal behaviors. This research work will focus on designing and building a RFID management system. This RFID system aims to monitor the growth of individual plants as well as keep the inventory of the crops using data continuously collected from sensors about their surrounding environment. The unmanned aerial vehicle or a mobile robot will be used as a data collecting tool, downloading the stored data of the RFID tags and uploading the information to the main database. Implementation of the RFID tags can be done with the UAV or mobile robot in two ways. The first option is to place the RFID tags in predetermined locations around a greenhouse or similar indoor environment and use the drone or robot to collect information. The second option is to place RFID tags in strategic locations throughout a farm field or similar outdoor environment. randomly over the area to be covered, in which case data collection will be nonuniform.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Agriculture. $3 518588
650 4 $a Robotics. $3 519753
650 4 $a Remote sensing. $3 535394
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653 $a Sensor
653 $a Technology
653 $a Unmanned aerial vehicle
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710 2 $a Texas A&M University - Kingsville. $b Mechanical and Industrial Engineering. $3 2092433
773 0 $t Masters Abstracts International $g 84-11.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30417583 $z click for full text (PQDT)