A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

Ubina, Naomi A.; Cheng, Shyi-Chyi; González Aguilera, Diego; Pablo Rodríguez-Gonzálvez

doi:10.3390/DRONES6010012

A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

Ubina, Naomi A.
Cheng, Shyi-Chyi
González Aguilera, Diego ed. lit. ¹
Pablo Rodríguez-Gonzálvez ed. lit.

1 Universidad de Salamanca

Universidad de Salamanca

Salamanca, España

ROR https://ror.org/02f40zc51

Aldizkaria:

Drones

ISSN: 2504-446X

Argitalpen urtea: 2022

Alea: 6

Zenbakia: 1

Orrialdeak: 12

Mota: Artikulua

DOI: 10.3390/DRONES6010012 GOOGLE SCHOLAR Sarbide irekia editor

Beste argitalpen batzuk: Drones

Garapen Iraunkorreko Helburuak

Laburpena

This paper aims to provide an overview of the capabilities of unmanned systems to monitor and manage aquaculture farms that support precision aquaculture using the Internet of Things. The locations of aquaculture farms are diverse, which is a big challenge on accessibility. For offshore fish cages, there is a difficulty and risk in the continuous monitoring considering the presence of waves, water currents, and other underwater environmental factors. Aquaculture farm management and surveillance operations require collecting data on water quality, water pollutants, water temperature, fish behavior, and current/wave velocity, which requires tremendous labor cost, and effort. Unmanned vehicle technologies provide greater efficiency and accuracy to execute these functions. They are even capable of cage detection and illegal fishing surveillance when equipped with sensors and other technologies. Additionally, to provide a more large-scale scope, this document explores the capacity of unmanned vehicles as a communication gateway to facilitate offshore cages equipped with robust, low-cost sensors capable of underwater and in-air wireless connectivity. The capabilities of existing commercial systems, the Internet of Things, and artificial intelligence combined with drones are also presented to provide a precise aquaculture framework.

Erreferentzia bibliografikoak

10.4060/ca9229en
10.1007/s00267-018-1117-3
10.1016/j.marpol.2017.03.014
10.1016/j.worlddev.2015.11.007
10.13140/RG.2.1.2407.9122
Genschick, (2017)
10.1684/agr.2009.0286
10.1139/f76-114
(2009)
10.1016/j.aaf.2020.01.001
10.1111/faf.12152
10.1093/tas/txz012
10.1023/B:AQUI.0000013264.38692.91
(1999)
10.1016/j.ecss.2012.07.008
10.1016/j.ecss.2012.05.025
10.1285/i18252273v1n1p1
10.1016/j.aquaculture.2021.736973
Land based multi-trophic aquaculture research at the wave energy research centrehttps://nrc-publications.canada.ca/fra/voir/objet/?id=543d494b-95b1-4c30-ab48-7463b14e29ab
10.4031/MTSJ.44.3.11
10.1038/s41586-021-03308-6
Baki, (2017), Int. J. Ecosyst. Ecol. Sci., 7, pp. 859
10.23919/OCEANS.2015.7404486
FAO Training Series: Simple Methods for Aquaculturehttps://www.fao.org/fishery/docs/CDrom/FAO_Training/FAOTraining/General/f1e.htm
10.1007/s10499-021-00773-8
10.1016/j.aquaeng.2021.102178
10.1016/j.aquaculture.2016.12.020
10.1111/raq.12464
10.6119/JMST.202010_28.0014
10.3390/drones5040109
10.1016/j.biosystemseng.2017.10.014
10.1109/IOTM.0001.1900033
10.1109/JSTARS.2017.2746185
Krishna, (2021)
10.3390/s21062057
10.1016/j.compeleceng.2019.01.007
10.3390/app9061236
10.1016/j.comcom.2020.12.015
10.1109/JIOT.2019.2939397
10.1109/MNET.011.2000219
10.3390/s18113951
10.1109/TVT.2019.2915270
10.1109/TITS.2021.3066843
10.1109/JSEN.2021.3049471
10.3390/s19204547
10.3390/su13116421
10.1007/s40846-021-00621-3
10.1016/j.marpolbul.2019.01.009
Nicholls, (2020)
Wyatt Literature Review: Understanding the Current State of Autonomous Technologies to Improve/Expand Observation and Detection of Marine Specieshttps://fdocuments.in/document/literature-review-understanding-the-current-state-literature-review-understanding.html
10.2193/0091-7648(2006)34[750:AAOSUA]2.0.CO;2
10.1002/net.21818
10.3390/s19061438
10.1111/j.1937-2817.2010.tb01292.x
10.1016/j.isprsjprs.2014.02.013
10.1146/annurev-marine-010318-095323
10.3390/s20205940
10.3390/rs13061204
10.1177/1475090220936896
10.2118/09-05-12-GE
10.1177/0278364908100561
10.1109/ACCESS.2018.2872672
10.3390/app10041256
10.1109/MIM.2020.9062680
10.1109/OCEANS.2008.5152052
10.1155/2019/1323105
10.1016/j.neucom.2020.09.031
10.4173/mic.2008.4.2
10.1109/MNET.2019.1800544
10.3390/s21062140
10.3390/s21041518
Martin, (2019)
10.5194/isprsarchives-XL-1-W2-275-2013
10.1108/20496421311330047
10.3390/s18020499
10.3390/s20195718
10.1109/AERO.2019.8741719
10.1109/THMS.2014.2362520
10.1109/TPAMI.2014.2363827
10.1007/s10846-014-0092-z
10.1117/1.JMM.14.1.015001
10.1108/00022660910997810
10.1109/ICUS50048.2020.9274845
10.25165/j.ijabe.20181102.2696
10.1016/j.arcontrol.2016.04.018
10.1111/raq.12143
10.3390/drones5030097
10.1109/ENBENG.2017.7889458
10.1007/978-3-319-58039-5_4
10.1088/1361-6463/aabb93
10.1109/ICTSD.2015.7095919
10.1109/JSEN.2018.2817158
10.3389/fanim.2021.695054
10.1109/ICECS46596.2019.8965135
10.1109/MCOM.2017.1600587CM
10.1109/ICOSST.2015.7396417
10.1109/ACCESS.2019.2960596
10.1111/jwas.12682
10.1080/00221686.2015.1054322
10.1109/ACCESS.2019.2933173
10.3390/s21155044
10.3390/s18030772
Internet of Things Part 3: LPWAN Technogieshttps://www.rompagroup.com/news/internet-of-things-part-3-lpwan-technologies.aspx
10.1016/j.icte.2017.12.005
A Comparison of LPWAN Technologieshttps://www.digi.com/blog/post/lpwan-technology-comparison
10.1016/j.jnca.2020.102739
10.4172/2155-9546.1000534
10.1016/j.amc.2017.08.052
10.1038/s41598-020-79772-3
10.1016/j.aquaeng.2006.02.004
10.1016/j.aquaeng.2011.05.002
10.1016/j.aquaeng.2017.07.008
10.1080/01480540701522551
10.1016/S0144-8609(96)01009-6
10.1016/j.watres.2004.06.028
10.1016/j.jneumeth.2009.08.006
10.1109/AEECT.2015.7360567
10.1016/j.aquaeng.2014.03.005
10.3390/ani11102774
10.1016/S0144-8609(03)00049-9
10.1016/j.compag.2016.08.020
10.1016/j.compag.2020.105411
10.1016/S0044-8486(98)00238-5
10.3389/fmars.2020.00429
10.3389/fmars.2021.658135
10.1016/j.aquaculture.2012.10.016
10.1016/j.aquaeng.2015.10.003
10.1016/j.aquaeng.2021.102147
10.1016/j.compag.2020.105439
10.1016/j.aquaeng.2012.09.001
10.1016/S0144-8609(97)00012-5
10.1016/j.compag.2019.105087
10.1002/ece3.7656
10.1111/fme.12420
10.1111/fme.12350
10.1109/ITNG.2015.52
10.1109/IROS.2012.6386277
10.1080/1523908X.2018.1461084
10.3390/rs10040511
10.1109/AVSS.2014.6918684
10.1109/IES50839.2020.9231539
10.3389/fmars.2019.00806
10.1007/s12518-013-0120-x
Zongijan, (2008), Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., 37, pp. 1183
10.1117/12.2566273
10.6119/JMST.202012_28.0002
10.6119/JMST.202010_28.0003
Drone Applications in Farming Management in Taiwan. Food and Fertilizer Technology Center for the Asian and Pacific Regionhttps://ap.fftc.org.tw/article/1640
Ahilan, (2015), Int. J. Aerosp. Mec. Eng., 9, pp. 1468
10.1093/icesjms/fsz124
10.1109/IST.2018.8577180
10.1002/aqc.3189
Percy, (2013), pp. 245
10.1016/j.aquaculture.2020.734928
10.3354/aei00007
10.3390/futuretransp1020019
10.1109/COMST.2019.2906228
10.1371/journal.pone.0159781
10.1007/s11119-012-9274-5
Advexure Unmanned Systems and Solutionshttps://advexure.com/pages/autel-dragonfish
Skyfronthttps://skyfront.com/perimeter-8/
Yoo, (2020), J. Korea Inst. Electron. Commun. Sci., 15, pp. 959
10.3390/s19214695
10.1007/978-3-030-30244-3_47
10.3389/fmars.2020.520223
10.1109/ICCVW.2017.338
10.7755/FB.114.3.1
10.1109/ICRA48506.2021.9561268
10.3390/jmse9010079
10.1109/ACCESS.2018.2820326
10.1016/j.inpa.2014.12.001
10.1109/MSPEC.2017.7880444
10.1109/ICUAS.2013.6564805
Segner, (2019)
10.1016/j.aquaeng.2019.102018
10.1109/AUV.2010.5779675
10.1371/journal.pone.0160404
10.1109/IROS.2014.6943046
10.1016/j.fishres.2012.06.011
10.1109/ISOEN.2019.8823406
10.3390/rs12030402
10.3390/rs10010081
10.3390/drones4010005
10.1002/rob.21591
10.1002/lom3.10214
10.1016/j.scitotenv.2019.03.252
10.3390/w13141930
10.1016/j.isprsjprs.2017.06.004
10.3390/rs11050567
10.1080/15275922.2012.729002
10.3390/drones5030084
10.1163/156855302317413718
10.3390/s18103318
10.3390/s21134451
10.1002/lom3.10065
10.1002/lom3.10132
10.1007/s12518-019-00270-x
10.1016/j.jhydrol.2016.06.012
10.1016/j.aquaculture.2016.09.021
10.21046/2070-7401-2018-15-1-245-257
10.3390/rs13040679
10.1109/LGRS.2017.2749120
10.1109/OCEANSE.2017.8084957
10.1109/TMECH.2015.2408112
10.5194/hess-24-1429-2020
10.3390/robotics8010005
10.1080/21664250.2018.1436239
10.1002/hyp.10698
10.1175/JTECH-D-17-0199.1
10.3390/rs8050387
10.1016/j.flowmeasinst.2021.101964
10.1109/OCEANSKOBE.2018.8558815
10.14429/dsj.65.8631
Drone Laws for a Safer Airspacehttps://drone-laws.com/
10.4031/002533204787522389
Legal Issues Relating to Unmanned Maritime Systems Monographhttps://www.iqpc.com/media/1002182/50661.pdf
10.31142/ijtsrd23696
10.1016/j.ifacol.2019.11.493
10.1007/978-3-642-16138-4_22
Alta Devices Sets GaAs Solar Efficiency Record at 29.1% Joins NASA Space Station Testinghttps://www.pv-tech.org/alta-devices-sets-gaas-solar-cell-efficiency-record-at-29-1-joins-nasa-spac/
10.3390/drones5020044
10.1109/AIM.2015.7222767
10.1109/ICCE.2016.7430651
10.1155/2015/631420
10.1007/s11042-021-10626-4
10.1007/978-3-319-31858-5_7
10.5194/hess-2021-112
Fight Illegal Fishing Economical Coastal Surveillancehttps://bbcomsecure.com/resources/bbsec_IUU_Fishing_economical_costal_surveilance_system.pdf
10.1109/IEEECONF38699.2020.9389152
Aquaculturehttps://www.blueyerobotics.com/page/aqua-culture
Aquaculture ROVs for Net Inspections, Patching, Mort Pushing, and Site Selectionhttps://www.deeptrekker.com/industries/aquaculture
Enterprise Grade ROV Platform Powerful & Precise, Advanced Add-Ons, Exceptional Stability, Superior Batteryhttps://www.qysea.com/products/fifish-w6/

A Review of Unmanned System Technologies with Its Application to Aquaculture Farm Monitoring and Management

Universidad de Salamanca

Garapen Iraunkorreko Helburuak

Laburpena

Erreferentzia bibliografikoak