Real‐time estimation of olive flounder growth in indoor aquaculture using cameras combined with a grid

Estimating fish growth in real time has many benefits for indoor aquaculture farms, such as saving labor time and costs, reducing water pollution during feeding, improving feeding activity and determining when to harvest. Hence, this study proposed a visual‐information‐based method for measuring oli...

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Vydáno v:	Journal of the World Aquaculture Society Ročník 56; číslo 1
Hlavní autoři:	Nguyen, Hang Thi Phuong, Jun, Myoungjae, Jeong, Hieyong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Hoboken, USA Wiley Subscription Services, Inc 01.02.2025 John Wiley & Sons, Inc Wiley
Témata:	Algorithms animal growth Aquaculture Body weight camera Cameras data collection Estimation Feeding Fish Image acquisition image processing interpolating polynomial algorithm labor LED grid Length-weight relationships length‐weight relationship Light emitting diodes Marine fishes Measurement methods olives Paralichthys olivaceus Pollution control Polynomials sensor fusion Water pollution Water tanks
ISSN:	0893-8849, 1749-7345
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Abstract	Estimating fish growth in real time has many benefits for indoor aquaculture farms, such as saving labor time and costs, reducing water pollution during feeding, improving feeding activity and determining when to harvest. Hence, this study proposed a visual‐information‐based method for measuring olive flounder (Paralichthys olivaceus) length, using accurate growth tracking for efficient aquaculture management. Using two cameras, an light‐emitting‐diode (LED) grid was placed at the bottom of the water tank to measure fish length. The pixels unit from the fish length in the captured image was converted to centimeters based on the relationship of a pre‐built dataset. A total of 180 lengths were calculated using images captured by the cameras. The average length of each fish acquired from the cameras was calculated separately, and Lagrange's interpolating polynomial algorithm was implemented to calculate the overall length of each fish. This method reduced the computational complexity, and results were obtained more rapidly and in a user‐friendly environment. The power model generated the length–weight relationship, which allowed us to estimate the body weight of each olive flounder based on the length. The proposed approach enabled us to calculate the length of olive flounders with a highly accurate R2 of 0.995.
AbstractList	Abstract Estimating fish growth in real time has many benefits for indoor aquaculture farms, such as saving labor time and costs, reducing water pollution during feeding, improving feeding activity and determining when to harvest. Hence, this study proposed a visual‐information‐based method for measuring olive flounder (Paralichthys olivaceus) length, using accurate growth tracking for efficient aquaculture management. Using two cameras, an light‐emitting‐diode (LED) grid was placed at the bottom of the water tank to measure fish length. The pixels unit from the fish length in the captured image was converted to centimeters based on the relationship of a pre‐built dataset. A total of 180 lengths were calculated using images captured by the cameras. The average length of each fish acquired from the cameras was calculated separately, and Lagrange's interpolating polynomial algorithm was implemented to calculate the overall length of each fish. This method reduced the computational complexity, and results were obtained more rapidly and in a user‐friendly environment. The power model generated the length–weight relationship, which allowed us to estimate the body weight of each olive flounder based on the length. The proposed approach enabled us to calculate the length of olive flounders with a highly accurate R2 of 0.995. Estimating fish growth in real time has many benefits for indoor aquaculture farms, such as saving labor time and costs, reducing water pollution during feeding, improving feeding activity and determining when to harvest. Hence, this study proposed a visual‐information‐based method for measuring olive flounder (Paralichthys olivaceus) length, using accurate growth tracking for efficient aquaculture management. Using two cameras, an light‐emitting‐diode (LED) grid was placed at the bottom of the water tank to measure fish length. The pixels unit from the fish length in the captured image was converted to centimeters based on the relationship of a pre‐built dataset. A total of 180 lengths were calculated using images captured by the cameras. The average length of each fish acquired from the cameras was calculated separately, and Lagrange's interpolating polynomial algorithm was implemented to calculate the overall length of each fish. This method reduced the computational complexity, and results were obtained more rapidly and in a user‐friendly environment. The power model generated the length–weight relationship, which allowed us to estimate the body weight of each olive flounder based on the length. The proposed approach enabled us to calculate the length of olive flounders with a highly accurate R² of 0.995. Estimating fish growth in real time has many benefits for indoor aquaculture farms, such as saving labor time and costs, reducing water pollution during feeding, improving feeding activity and determining when to harvest. Hence, this study proposed a visual‐information‐based method for measuring olive flounder (Paralichthys olivaceus) length, using accurate growth tracking for efficient aquaculture management. Using two cameras, an light‐emitting‐diode (LED) grid was placed at the bottom of the water tank to measure fish length. The pixels unit from the fish length in the captured image was converted to centimeters based on the relationship of a pre‐built dataset. A total of 180 lengths were calculated using images captured by the cameras. The average length of each fish acquired from the cameras was calculated separately, and Lagrange's interpolating polynomial algorithm was implemented to calculate the overall length of each fish. This method reduced the computational complexity, and results were obtained more rapidly and in a user‐friendly environment. The power model generated the length–weight relationship, which allowed us to estimate the body weight of each olive flounder based on the length. The proposed approach enabled us to calculate the length of olive flounders with a highly accurate R2 of 0.995. Estimating fish growth in real time has many benefits for indoor aquaculture farms, such as saving labor time and costs, reducing water pollution during feeding, improving feeding activity and determining when to harvest. Hence, this study proposed a visual‐information‐based method for measuring olive flounder ( Paralichthys olivaceus ) length, using accurate growth tracking for efficient aquaculture management. Using two cameras, an light‐emitting‐diode (LED) grid was placed at the bottom of the water tank to measure fish length. The pixels unit from the fish length in the captured image was converted to centimeters based on the relationship of a pre‐built dataset. A total of 180 lengths were calculated using images captured by the cameras. The average length of each fish acquired from the cameras was calculated separately, and Lagrange's interpolating polynomial algorithm was implemented to calculate the overall length of each fish. This method reduced the computational complexity, and results were obtained more rapidly and in a user‐friendly environment. The power model generated the length–weight relationship, which allowed us to estimate the body weight of each olive flounder based on the length. The proposed approach enabled us to calculate the length of olive flounders with a highly accurate R 2 of 0.995.
Author	Jun, Myoungjae Jeong, Hieyong Nguyen, Hang Thi Phuong
Author_xml	– sequence: 1 givenname: Hang Thi Phuong surname: Nguyen fullname: Nguyen, Hang Thi Phuong organization: Chonnam National University – sequence: 2 givenname: Myoungjae surname: Jun fullname: Jun, Myoungjae email: 21cnehemiah@jnu.ac.kr organization: Chonnam National University – sequence: 3 givenname: Hieyong orcidid: 0000-0002-8135-8252 surname: Jeong fullname: Jeong, Hieyong email: h.jeong@jnu.ac.kr organization: Chonnam National University
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Cites_doi	10.1109/ICATCCT.2016.7912042 10.1093/icesjms/fsz186 10.4031/MTSJ.50.1.1 10.3390/s24030852 10.1109/DICTA47822.2019.8945971 10.1016/S0168-1699(00)00181-2 10.1016/S0044-8486(96)01384-1 10.1016/S0165-7836(03)00080-8 10.1186/s41240-019-0129-0 10.1016/j.applanim.2006.09.001 10.1016/j.mio.2016.09.008 10.1111/raq.12388 10.1109/OCEANSE.2017.8084565 10.1109/OCEANSLimerick52467.2023.10244359 10.3390/ani10020364 10.1002/9780813810997.ch9 10.1007/s40819-015-0041-y 10.1109/ICPR.1996.546029 10.23919/OCEANS44145.2021.9705813 10.5657/FAS.2014.0391 10.1016/j.compag.2020.105419 10.1038/s41598-022-19932-9
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References_xml	– start-page: 156 year: 2010 end-page: 168 article-title: Culture of olive flounder: Korean perspective publication-title: Practical Flatfish Culture and Stock Enhancement – volume: 12 start-page: 1 issue: 1 year: 2022 end-page: 11 article-title: An affordable and easy‐to‐use tool for automatic fish length and weight estimation in mariculture publication-title: Scientific Reports – volume: 17 start-page: 391 issue: 4 year: 2014 end-page: 401 article-title: A review of the optimum feeding rates in olive flounder (5 g through 525 g) fed the commercial feed publication-title: Fisheries and Aquatic Sciences – start-page: 457 year: 2016 end-page: 460 – volume: 22 start-page: 1 issue: 1 year: 2019 end-page: 8 article-title: Identification of vibrio species isolated from cultured olive flounder ( ) in jeju Island, South Korea publication-title: Fisheries and Aquatic Sciences – year: 2024 – volume: 173 year: 2020 article-title: An automatic method of fish length estimation using underwater stereo system based on labview publication-title: Computers and Electronics in Agriculture – volume: 77 start-page: 1354 issue: 4 year: 2020 end-page: 1366 article-title: Automatic segmentation of fish using deep learn‐ ing with application to fish size measurement publication-title: ICES Journal of Marine Science – year: 2014 – volume: 1 start-page: 639 year: 2015 end-page: 649 article-title: Lagrange's interpolating polynomial approach to solve multi‐choice transportation problem publication-title: International Journal of Applied and Computational Mathematics – volume: 24 start-page: 852 issue: 3 year: 2024 article-title: Effect of light‐emitting grid panel on indoor aquaculture for measuring fish growth publication-title: Sensors – start-page: 1 year: 2021 end-page: 5 – volume: 104 start-page: 199 issue: 3–4 year: 2007 end-page: 235 article-title: Fish welfare: Current issues in aquaculture publication-title: Applied Animal Behaviour Science – start-page: 1 year: 2017 end-page: 6 – volume: 17 start-page: 138 year: 2016 end-page: 152 article-title: Automated measurements of fish within a trawl using stereo images from a camera‐trawl device (camtrawl) publication-title: Methods in Oceanography – volume: 10 start-page: 364 issue: 2 year: 2020 article-title: Automatic fish population counting by machine vision and a hybrid deep neural network model publication-title: Animals – volume: 1 start-page: 253 year: 1996 end-page: 257 – year: 2008 – start-page: 1 year: 2019 end-page: 7 – start-page: 1 year: 2023 end-page: 4 – volume: 146 start-page: 189 issue: 3–4 year: 1996 end-page: 203 article-title: Predicting salmon biomass remotely using a digital stereo‐imaging technique publication-title: Aquaculture – volume: 12 start-page: 1390 issue: 3 year: 2020 end-page: 1411 article-title: Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: A review publication-title: Reviews in Aquaculture – volume: 63 start-page: 315 issue: 3 year: 2003 end-page: 326 article-title: The accuracy and precision of underwater measurements of length and maximum body depth of southern bluefin tuna ( ) with a stereo–video camera system publication-title: Fisheries Research – volume: 50 start-page: 4 issue: 1 year: 2016 end-page: 16 article-title: Progress in the automated identification, measurement, and counting of fish in under‐ water image sequences publication-title: Marine Technology Society Journal – year: 2017 – volume: 31 start-page: 151 issue: 2 year: 2001 end-page: 168 article-title: An automatic image‐based system for estimating the mass of free‐swimming fish publication-title: Computers and Electronics in Agriculture – volume: 11 start-page: 1 issue: 1 year: 2021 end-page: 9 article-title: Retinanet‐based approach for object detection and distanceestimation in an image publication-title: International Journal on Communications Antenna and Propagation – ident: e_1_2_10_17_1 doi: 10.1109/ICATCCT.2016.7912042 – volume-title: Measuring length and area of objects in digital images using analyzing digital images software year: 2008 ident: e_1_2_10_20_1 – ident: e_1_2_10_9_1 doi: 10.1093/icesjms/fsz186 – ident: e_1_2_10_23_1 doi: 10.4031/MTSJ.50.1.1 – ident: e_1_2_10_11_1 doi: 10.3390/s24030852 – ident: e_1_2_10_13_1 doi: 10.1109/DICTA47822.2019.8945971 – ident: e_1_2_10_15_1 doi: 10.1016/S0168-1699(00)00181-2 – ident: e_1_2_10_5_1 doi: 10.1016/S0044-8486(96)01384-1 – ident: e_1_2_10_10_1 doi: 10.1016/S0165-7836(03)00080-8 – ident: e_1_2_10_24_1 doi: 10.1186/s41240-019-0129-0 – ident: e_1_2_10_3_1 doi: 10.1016/j.applanim.2006.09.001 – ident: e_1_2_10_27_1 doi: 10.1016/j.mio.2016.09.008 – ident: e_1_2_10_14_1 doi: 10.1111/raq.12388 – ident: e_1_2_10_16_1 doi: 10.1109/OCEANSE.2017.8084565 – volume: 11 start-page: 1 issue: 1 year: 2021 ident: e_1_2_10_2_1 article-title: Retinanet‐based approach for object detection and distanceestimation in an image publication-title: International Journal on Communications Antenna and Propagation – ident: e_1_2_10_8_1 – ident: e_1_2_10_12_1 doi: 10.1109/OCEANSLimerick52467.2023.10244359 – ident: e_1_2_10_28_1 doi: 10.3390/ani10020364 – ident: e_1_2_10_4_1 doi: 10.1002/9780813810997.ch9 – ident: e_1_2_10_18_1 – ident: e_1_2_10_21_1 doi: 10.1007/s40819-015-0041-y – ident: e_1_2_10_7_1 doi: 10.1109/ICPR.1996.546029 – ident: e_1_2_10_6_1 – ident: e_1_2_10_26_1 doi: 10.23919/OCEANS44145.2021.9705813 – ident: e_1_2_10_19_1 doi: 10.5657/FAS.2014.0391 – ident: e_1_2_10_22_1 doi: 10.1016/j.compag.2020.105419 – ident: e_1_2_10_25_1 doi: 10.1038/s41598-022-19932-9
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Snippet	Estimating fish growth in real time has many benefits for indoor aquaculture farms, such as saving labor time and costs, reducing water pollution during... Abstract Estimating fish growth in real time has many benefits for indoor aquaculture farms, such as saving labor time and costs, reducing water pollution...
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SubjectTerms	Algorithms animal growth Aquaculture Body weight camera Cameras data collection Estimation Feeding Fish Image acquisition image processing interpolating polynomial algorithm labor LED grid Length-weight relationships length‐weight relationship Light emitting diodes Marine fishes Measurement methods olives Paralichthys olivaceus Pollution control Polynomials sensor fusion Water pollution Water tanks
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Title	Real‐time estimation of olive flounder growth in indoor aquaculture using cameras combined with a grid
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