The Impact of Marine Aquaculture on the Environment; the Importance of Site Selection and Carrying Capacity

Agricultural Sciences

ISSN Print: 2156-8553
ISSN Online: 2156-8561
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"The Impact of Marine Aquaculture on the Environment; the Importance of Site Selection and Carrying Capacity"
written by Guzel Yucel-Gier, Canan Eronat, Erdem Sayin,
published by Agricultural Sciences, Vol.10 No.3, 2019

has been cited by the following article(s):

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[4]	Evaluation of the ecological carrying capacity of Wailingding marine ranching in Zhuhai, China by high-resolution remote sensing Frontiers in Marine Science, 2024 DOI:10.3389/fmars.2024.1354407

[5]	Multisource Remote Sensing Fusion for Marine Aquaculture Information Extraction 2024 16th International Conference on Advanced Computational Intelligence (ICACI), 2024 DOI:10.1109/ICACI60820.2024.10537020

[6]	Extraction of offshore aquaculture areas from Gaofen-2 remote sensing imagery based on deep learning Remote Sensing Letters, 2024 DOI:10.1080/2150704X.2024.2368925

[7]	La economía circular en los procesos productivos: una fuente de sostenibilidad para crear valor en el sector pesquero European Public & Social Innovation Review, 2024 DOI:10.31637/epsir-2024-334

[8]	PolSAR Marine Aquaculture Detection Based on Fast PMVOAU-net 2022 14th International Conference on Advanced Computational Intelligence (ICACI), 2022 DOI:10.1109/ICACI55529.2022.9837527

[9]	Developing an Environmental Impact Assessment for Floating Island Applications Frontiers in Marine Science, 2021 DOI:10.3389/fmars.2021.664055

[10]	Extraction of Offshore Aquaculture Areas from Medium-Resolution Remote Sensing Images Based on Deep Learning Remote Sensing, 2021 DOI:10.3390/rs13193854

[11]	Polarimetric Characteristic Analysis of Complex Marine Aquaculture in Sanduao Coastal Zone 2021 CIE International Conference on Radar (Radar), 2021 DOI:10.1109/Radar53847.2021.10028647

[12]	A Review on Mariculture Effluent: Characterization and Management Tools Water, 2020 DOI:10.3390/w12112991

[13]	Extracting Raft Aquaculture Areas from Remote Sensing Images via an Improved U-Net with a PSE Structure Remote Sensing, 2019 DOI:10.3390/rs11172053

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