RFID and Drones: The Next Generation of Plant Inventory
Collection of plant inventory (i.e., count, grade, plant size, yield) data is time-consuming, costly, and can be inaccurate. In response to increasing labor costs and shortages, there is an increased need for the adoption of more automated technologies by the nursery industry. Growers, small and lar...
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Published in: | AgriEngineering Vol. 3; no. 2; pp. 168 - 181 |
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01-06-2021
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Abstract | Collection of plant inventory (i.e., count, grade, plant size, yield) data is time-consuming, costly, and can be inaccurate. In response to increasing labor costs and shortages, there is an increased need for the adoption of more automated technologies by the nursery industry. Growers, small and large, are beginning to adopt technologies (e.g., plant spacing robots) that automate or augment certain operations, but greater strides must be taken to integrate next-generation technologies into these challenging unstructured agricultural environments. The main objective of this work is to demonstrate merging specific ground and aerial-based technologies (Radio Frequency Identification (RFID), and small Unmanned Aircraft System (sUAS)) into a holistic systems approach to address the specific need of moving toward automated on-demand plant inventory. This preliminary work focuses on evaluating different RFID tags with respect to their distance and orientation to the RFID reader. Fourteen different RFID tags, five distances (1.5 m, 3.0 m, 4.5 m, 6.0 m, and 7.6 m), and four tag orientations (the front of the tag (UP), back of the tag (DN), tag at sideways left (SL), and tag at sideways right (SR)) were assessed. Results showed that the tag upward orientation resulted in the highest scanning total for both the laboratory and field experiments. Two orientations (UP and SR) had significant effect on the scan total of tags. The distance between the reader and the tags at 1.5 m and 6.0 m did not significantly affect the scanning efficiency of the RFID system in horizontally fixed (p-value > 0.05) position regardless of tags. Different tag designs also produced different scan totals. Overall, since most of the tags were scanned at least once (except for Tag 6F), it is a very promising technology for use in nursery inventory data acquisition. This work will create a unique inventory system for agriculture where locations of plants or animals will not present a barrier as the system can easily be mounted on a drone. Although these experiments are focused on inventory in plant nurseries, results for this work has potential for inventory management in other agricultural sectors. |
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AbstractList | Collection of plant inventory (i.e., count, grade, plant size, yield) data is time-consuming, costly, and can be inaccurate. In response to increasing labor costs and shortages, there is an increased need for the adoption of more automated technologies by the nursery industry. Growers, small and large, are beginning to adopt technologies (e.g., plant spacing robots) that automate or augment certain operations, but greater strides must be taken to integrate next-generation technologies into these challenging unstructured agricultural environments. The main objective of this work is to demonstrate merging specific ground and aerial-based technologies (Radio Frequency Identification (RFID), and small Unmanned Aircraft System (sUAS)) into a holistic systems approach to address the specific need of moving toward automated on-demand plant inventory. This preliminary work focuses on evaluating different RFID tags with respect to their distance and orientation to the RFID reader. Fourteen different RFID tags, five distances (1.5 m, 3.0 m, 4.5 m, 6.0 m, and 7.6 m), and four tag orientations (the front of the tag (UP), back of the tag (DN), tag at sideways left (SL), and tag at sideways right (SR)) were assessed. Results showed that the tag upward orientation resulted in the highest scanning total for both the laboratory and field experiments. Two orientations (UP and SR) had significant effect on the scan total of tags. The distance between the reader and the tags at 1.5 m and 6.0 m did not significantly affect the scanning efficiency of the RFID system in horizontally fixed (p-value > 0.05) position regardless of tags. Different tag designs also produced different scan totals. Overall, since most of the tags were scanned at least once (except for Tag 6F), it is a very promising technology for use in nursery inventory data acquisition. This work will create a unique inventory system for agriculture where locations of plants or animals will not present a barrier as the system can easily be mounted on a drone. Although these experiments are focused on inventory in plant nurseries, results for this work has potential for inventory management in other agricultural sectors. |
Author | Maja, Joe Mari Quino, Jannette Fernandez, R. Thomas Chappell, Matthew Robbins, James Owen, James S. |
Author_xml | – sequence: 1 givenname: Jannette surname: Quino fullname: Quino, Jannette – sequence: 2 givenname: Joe Mari surname: Maja fullname: Maja, Joe Mari – sequence: 3 givenname: James surname: Robbins fullname: Robbins, James – sequence: 4 givenname: R. Thomas orcidid: 0000-0003-0113-8055 surname: Fernandez fullname: Fernandez, R. Thomas – sequence: 5 givenname: James S. orcidid: 0000-0002-7791-5407 surname: Owen fullname: Owen, James S. – sequence: 6 givenname: Matthew orcidid: 0000-0003-4885-7583 surname: Chappell fullname: Chappell, Matthew |
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Cites_doi | 10.1109/MPRV.2006.2 10.3389/fevo.2019.00257 10.1016/j.rse.2015.09.011 10.3390/ani11030829 10.1016/j.compag.2011.08.010 10.3390/rs11222645 10.1016/j.compag.2005.09.003 10.1117/12.2228929 10.3390/electronics6010009 10.19080/ARTOAJ.2018.14.555924 10.3390/rs10020285 10.1117/12.2304739 10.3390/s21051875 |
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Copyright | 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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References | Ehsani (ref_2) 2015; 171 Robbins (ref_6) 2017; 45 Bridge (ref_16) 2019; 7 Lunadei (ref_10) 2011; 79 ref_14 ref_13 Want (ref_9) 2006; 5 ref_12 Fernandez (ref_8) 2014; 9 ref_1 Wang (ref_11) 2006; 50 ref_3 ref_18 ref_17 ref_15 ref_5 ref_4 ref_7 |
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SubjectTerms | Agricultural industry Agriculture Animals Antennas Data acquisition Design drone Drone aircraft Drones Field tests Inventory Inventory control Inventory management microcontroller Moisture content ornamental precision agriculture Radio frequency identification Receivers & amplifiers RFID Scanning Tags Unmanned aircraft |
Title | RFID and Drones: The Next Generation of Plant Inventory |
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