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The Relationship between Drone Speed and the Number of Flights in RFID Tag Reading for Plant Inventory

Edisto Research and Education Center, 64 Research Road, Blackville, SC 29817, USA
Department of Agricultural Science, Clemson University, 240 McAdams Hall, Clemson, SC 29634, USA
Division of Agriculture, University of Arkansas, CES, 2301 S. University Ave., Little Rock, AR 72204, USA
USDA-ARS Application Technology Research Unit, 1680 Madison Ave., Wooster, OH 44691, USA
Tidewater Agricultural Research & Extension Center, Virginia Tech, 6321 Holland Road, Suffolk, VA 23437, USA
Embrapa Digital Agriculture, Avenida Andre Tosello 209, Campus da Unicamp, Barao Geraldo, Campinas 130083-886, SP, Brazil
Department of Horticulture, Michigan State University, 1066 Bogue St., East Lansing, MI 48824, USA
Author to whom correspondence should be addressed.
Academic Editors: Diego González-Aguilera and Pablo Rodríguez-Gonzálvez
Received: 24 November 2021 / Revised: 14 December 2021 / Accepted: 17 December 2021 / Published: 22 December 2021
(This article belongs to the Collection Feature Papers of Drones)
Accurate inventory allows for more precise forecasting, including profit projections, easier monitoring, shorter outages, and fewer delivery interruptions. Moreover, the long hours of physical labor involved over such a broad area and the effect of inefficiencies could lead to less accurate inventory. Unreliable data and predictions, unannounced stoppages in operations, production delays and delivery, and a considerable loss of profit can all arise from inaccurate inventory. This paper extends our previous work with drones and RFID by evaluating: the number of flights needed to read all tags deployed in the field, the number of scans per pass, and the optimum drone speed for reading tags. The drone flight plan was divided into eight passes from southwest to northwest and back at a horizontal speed of 2.2, 1.7, and 1.1 m per second (m/s) at a vertically fixed altitude. The results showed that speed did not affect the number of new tags scanned (p-value > 0.05). Results showed that 90% of the tags were scanned in less than four trips (eight passes) at 1.7 m/s. Based on these results, the system can be used for large-scale nursery inventory and other industries that use RFID tags in outdoor environments. We presented two novel measurements on evaluating RFID reader efficiency by measuring how fast the reader can read and the shortest distance traveled by the RFID reader over tag. View Full-Text
Keywords: speed; RFID; inventory; drones; labor; forecast speed; RFID; inventory; drones; labor; forecast
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MDPI and ACS Style

Quino, J.; Maja, J.M.; Robbins, J.; Owen, J., Jr.; Chappell, M.; Camargo, J.N.; Fernandez, R.T. The Relationship between Drone Speed and the Number of Flights in RFID Tag Reading for Plant Inventory. Drones 2022, 6, 2.

AMA Style

Quino J, Maja JM, Robbins J, Owen J Jr., Chappell M, Camargo JN, Fernandez RT. The Relationship between Drone Speed and the Number of Flights in RFID Tag Reading for Plant Inventory. Drones. 2022; 6(1):2.

Chicago/Turabian Style

Quino, Jannette, Joe M. Maja, James Robbins, James Owen Jr., Matthew Chappell, Joao N. Camargo, and R. T. Fernandez. 2022. "The Relationship between Drone Speed and the Number of Flights in RFID Tag Reading for Plant Inventory" Drones 6, no. 1: 2.

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